Our Apporach

Global Education, Global Acceptance

B.Tech CSE and Business Systems (TCS) ensures education of universal acceptance, aligning with globally recognized standards.
Engage in state-of-the-art teaching, friendly mentoring, and systematic workshops featuring pioneering technology for an enriched learning experience.
Inspire innovation and entrepreneurship among B.Tech students, guiding them to develop sustainable solutions that address societal needs in collaboration with TCS.

Industry-Academia Collaboration

Specialization

Programme Specialization

Artificial Intelligence and Machine Learning
Cyber Security
Data Science
Cloud Computing
Embedded Systems
VLSI
Sensors, Internet of Things and Data Analytics

Programme Details

4 Years Programme

Upto 100% Scholarship

100% Placement Assistance

Eligibility
60% in 10+2 wit
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B.Tech CSE with TCS is intricately crafted, offering students an in-depth understanding of computer science and engineering and business systems. The curriculum includes specialized training in core computer science technologies, encompassing AI, machine learning, and deep learning. Balancing theoretical foundations with practical proficiency, the program readies students for thriving careers in the dynamic IT sector. Core subjects span software development, database management, and system analysis, with seamless integration of cutting-edge new technologies, notably in data science, AI, and deep learning. Practical exposure to practical tools ensures students are well-prepared for evolving IT challenges. This program's curriculum achieves a well-balanced integration of core computing, business processes, and a diverse range of elective courses. It places a strong emphasis on fostering continuous self-learning among students.

Graduates will adeptly perform in both technical and managerial roles, showcasing a deep understanding of contemporary technologies and their application in diverse business environments.
Graduates will apply technology abstraction alongside core business principles, ensuring a harmonious integration of technical expertise and ethical business practices.
Graduates will embody ethics, responsibility, and life values, enabling them to successfully pursue higher education in esteemed institutions with a focus on information technology.

Engineering Knowledge Application: Apply mathematics, science, and engineering fundamentals to solve intricate engineering problems, showcasing proficiency in specialized engineering areas.
Advanced Problem Analysis: Identify, review, and analyze complex engineering issues, drawing substantiated conclusions using foundational principles of mathematics, natural sciences, and engineering.
Innovative Design and Development: Design solutions and system components for complex engineering challenges, emphasizing public health, safety, and considerations for cultural, societal, and environmental impact.
Research-based Problem Investigations: Utilize research-based knowledge and methods, including experimental design and data analysis, to address complex engineering problems, ensuring valid conclusions.
Modern Tool Usage Proficiency: Apply contemporary techniques and IT tools to complex engineering activities, including prediction and modeling, while understanding their limitations.
Engineer's Societal Responsibility: Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues in engineering practice, demonstrating a sense of responsibility.
Environment and Sustainability Understanding: Recognize the impact of engineering solutions on society and the environment, showcasing knowledge and commitment to sustainable development.
Ethical Engineering Practices: Apply ethical principles, committing to professional ethics, responsibilities, and norms within the engineering field.
Individual and Team Effectiveness: Function effectively individually and within diverse teams, demonstrating leadership skills in multidisciplinary settings.
Effective Communication Skills: Communicate complex engineering activities to both the engineering community and society at large, showcasing proficiency in comprehension, report writing, presentation, and clear communication.
Project and Financial Management: Demonstrate knowledge of engineering and management principles, applying them to individual work, team projects, and multidisciplinary environments.
Commitment to Lifelong Learning: Recognize the necessity for lifelong learning, demonstrating the preparation and ability to engage in independent learning within the ever-evolving technological landscape.

Apply theoretical Computer Science foundations and programming techniques to solve complex real-time problems, utilizing appropriate data structures and algorithms.
Design and develop hardware and software interfaces, incorporating efficient database management to meet industry requirements.
Demonstrate personal, organizational, and entrepreneurial skills through critical thinking, engaging in lifelong learning to stay abreast of innovations in business, science, and technology.

Curriculum Details

Year wise Course Details

Odd Semester

Courses for this semester

Course Overview

This course covers fundamental concepts in Discrete Mathematics, including Boolean algebra, abstract algebra, combinatorics, graph theory, and logic. Topics include truth tables, basic logic gates, set theory, group theory, counting principles, graph theory fundamentals, and propositional calculus. Students explore various proof techniques, such as mathematical induction, and learn about the principles of satisfiability and validity in logical reasoning.

Course Outcomes

Express a logic sentence in terms of predicates, quantifiers, and logical connectives.
Derive the solution for a given problem using deductive logic and prove the solution based on logical inference.
Classify its algebraic structure for a given a mathematical problem.
Evaluate Boolean functions and simplify expressions using the properties of Boolean algebra.
Develop the given problem as graph networks and solve with techniques of graph theory.

Course Overview

This course introduces foundational concepts in statistics, probability, and calculus, providing students with essential mathematical tools for data analysis and problem-solving.

Course Outcomes

Understanding the fundamental concepts of probability and statistics.
Describe important probability distributions like Binomial, Poisson Distributions and Normal Distributions
Explain the concept of testing of hypothesis.
Analyse the concepts of correlation, regression and estimations and their properties.
Explain the concept sampling distributions and estimation.

Course Overview

Students gain a comprehensive understanding of core concepts in computer science through lectures and hands-on laboratory sessions, covering topics such as algorithms, data structures, and programming languages.

Course Outcomes

Explain the working of a computer and its various components
Discuss the use of Software and programming in a computer system.
Outline the basic concepts of Computer Networks and Internet Protocols.
Develop Proficiency in Identifying different types of computer viruses, worms, and malware to enhance threat awareness.
Apply the role of various Software packages for Office Automation

Course Overview

This course explores fundamental principles of electrical engineering, including circuit analysis, electromagnetism, and electronic devices, through theoretical study and practical laboratory experiments.

Course Outcomes

Analyses basic DC and AC electric circuits.
Explain the working principles of transformers and electrical machines.
Explain the concepts of electric power transmission and distribution of power
Understand the wiring methods, electricity billing, and working principles of circuit protective devices and personal safety measures
Verify KCL, KVL, and maximum power transfer theorem (MPTT) and analyze the effects of open and short circuits in DC circuits.

Course Overview

Students study the principles of physics relevant to computing science, including mechanics, thermodynamics, and electromagnetism, through theoretical instruction and laboratory experiments.

Course Outcomes

understand the importance of Applied Physics in describing the physical phenomena.
Employ the knowledge of crystallography and X-Rays to understand the structure-property relationship of materials
Implement the concept of Theory of relativity and Quantum mechanics for research applications.
Recognize the use of Laser, Magnetic materials, Superconductors and optical fibers in various fields.
Acquire Basic knowledge of EMFT in communication and Nanophysics for its applications in the field of medicine, data storage devices and electronics.

Course Overview

Building on foundational communication skills, this course emphasizes effective business communication strategies, including professional writing, presentation techniques, and interpersonal communication in organizational settings. Students learn to analyze and interpret data to make informed business decisions, focusing on creating value for stakeholders.

Course Outcomes

Recognize the need for life skills and values (Understand)
Identify own strengths and opportunities (Analyse)
Recognize the importance of vocabulary enrichment (Understand)
Understand the basic tenets of communication and apply the basic communication practices in different types of communication (Apply)
Apply the life skills to different situations (Apply)

Even Semester

Courses for this semester

Course Overview

This course introduces fundamental concepts of linear algebra, covering topics such as vectors, matrices, linear transformations, eigenvalues, and eigenvectors. The accompanying lab sessions provide hands-on experience with matrix operations, solving linear equations, and applications in computer graphics and engineering.

Course Outcomes

Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.
Define matrices, linear equations, and determinants, recall basic vector algebra.
Understand basic concepts such as vector spaces, linear dependence /independence of vectors, basis and linear maps
Analyze and calculate eigen values, eigen vectors, rank nullity of a matrix / linear map.
Prove theorems, apply Gram-Schmidt process on inner product spaces, diagonalize special matrices.
Apply concepts of linear algebra to various applications including real life problems.

Course Overview

Students learn statistical techniques for data analysis and modeling, including probability distributions, hypothesis testing, regression analysis, and experimental design. Labs offer practical experience in applying statistical software to analyze real-world data sets and interpret results.

Course Outcomes

Compute the probabilities of composite events along with an understanding of the random variables.
Perform and interpret the various design of experiments and their implementation using different statistical software.
measure the different components of the time-series
Learn the Markov processes with a study of stochastic process, multivariate data and their applications to real word problems.
Implementation of statistical techniques using statistical packages viz. SPSS and etc.

Course Overview

This course explores data structures such as arrays, linked lists, trees, and graphs, along with algorithm design and analysis techniques. Labs focus on implementing data structures and algorithms in programming languages like C, C++ or Java, emphasizing efficiency and problem-solving skills.

Course Outcomes

Illustrate the Basic concepts of Data Structures.
Apply Data Structure techniques on computing problem
Analyse and develop algorithms to solve real world problems.
Implement and developed program for various concepts of data structures including array, stack, queue, graphs and trees.
Demonstarte and analyze various sorting algorithms and hashing techniques.

Course Overview

Students study the fundamental principles of electronics, including circuit analysis, semiconductor devices, and digital electronics. Lab sessions provide hands-on experience with electronic components, circuit design, and measurement techniques using instruments like oscilloscopes and multimeters.

Course Outcomes

Interpret different number systems, binary codes and Boolean algebra to minimize logic expressions
Develop K-maps to minimize and optimize logic functions up to 5 variables
Infer the knowledge about various logic gates and logic families and analyze basic circuits of these families
Design and implement Combinational and Sequential logic circuits.
Describe and compare various memory systems, shift registers and analog to digital and digital to analog conversion circuits

Course Overview

This course introduces basic economic principles, including microeconomics and macroeconomics concepts such as supply and demand, market structures, GDP, inflation, and fiscal policy. Students explore economic theories and their applications to real-world issues, gaining insights into decision-making processes in various economic contexts.

Course Outcomes

Understand the key issues related to the Indian economy
Understand major policy debates especially in the Indian context
Understand the difference between growth and development and factors in development
Understand role of population in economic development and issue of unemployment
Understand financial and banking sector reforms and monetary policy with special reference to India

Course Overview

This course covers fundamental concepts in environmental science, including ecosystems, biodiversity, climate change, pollution, and sustainability. Students explore the interconnections between human activities and the natural environment, gaining awareness of environmental issues and potential solutions for creating a more sustainable future.

Course Outcomes

Demonstrate the multidisciplinary nature of environmental studies
Learning about natural resource, its importance and environmental impacts of Human activities on natural resource
Explain environment and ecosystem, concept of biodiversity.
Aware students about problems of environmental pollution, its impact and control measures.
Illustrate the human population and the environment

Odd Semester

Courses for this semester

Course Overview

This course explores formal languages, automata theory, and computational models. Topics include regular languages, finite automata, context-free grammars, pushdown automata, and Turing machines. Students learn about language recognition, parsing techniques, and the theoretical foundations of computation.

Course Outcomes

Describe formal models of computation, such as finite automata, pushdown automata, and Turing machines.
Design Finite Automata’s for different Regular Expressions and Languages.
Compare different types of Grammars and design context free grammars for formal languages.
Construct and analyze Push Down automata and Turing Machine for formal languages.
Classify machines by their power to recognize languages

Course Overview

This course delves into the design and organization of computer systems. Topics include digital logic circuits, CPU architecture, memory systems, input/output systems, and assembly language programming. Students gain insight into the underlying hardware components and their interactions.

Course Outcomes

Outline the basics of instructions sets and their impact on processor design
Examine the control unit design approaches, memory design technologies and I/O transfers.
Explain the concepts of pipelining in Computer Architecture.
Interpret and analyze Parallel Processing Principles and Applications.
Demonstrate the concepts of Memory Organization Through Mapping Functions and Replacement Algorithms.

Course Overview

This course introduces object-oriented programming concepts and techniques. Topics include classes, objects, inheritance, polymorphism, encapsulation, and abstraction. Students learn to design and implement object-oriented solutions to complex problems, emphasizing modularity, reusability, and maintainability. Practical lab sessions provide hands-on experience with programming languages like C++.

Course Outcomes

Demonstrate the fundamental principles of OO programming, OO analysis, design and development.
Explain the principles of data abstraction, encapsulation and inheritance in C++
Describe the concepts of polymorphism and virtual function on computing problem.
Design applications for a range of problems using file and exception handling.
Illustrate the process of data file manipulation using C++

Course Overview

This course covers statistical methods and techniques used in computer science applications. Topics include probability theory, statistical inference, hypothesis testing, regression analysis, and data visualization. Students learn to apply statistical principles to analyze and interpret data, with practical exercises in statistical software tools.

Course Outcomes

Concepts of probability and statistics
Data analysis, statistical pattern recognition and data mining concepts
Classification and regression trees
Multiple Regression Analysis, Logistic Regression, k- Nearest Neighbor Classification
Implementations of Logistic regression and Apriori algorithms

Course Overview

This course explores principles and practices in software development. Topics include software requirements analysis, design methodologies, software testing, quality assurance, and project management. Students learn to apply software engineering principles to develop reliable, scalable, and maintainable software systems. Practical lab sessions focus on applying software engineering techniques in real-world projects.

Course Outcomes

Explain software engineering principles involved in building large software programs.
Illustrate the concepts and process of requirements specification and requirements validation.
Analyze system models for designing patterns.
Distinguish the concept of software testing.
Apply estimation techniques, schedule project activities and compute pricing.

Course Overview

This course provides an overview of the Indian Constitution and its significance in the legal and political framework of India. Topics include the Preamble, fundamental rights and duties, directive principles of state policy, and the structure of government. Students gain an understanding of the constitutional principles and their impact on Indian society and governance.

Course Outcomes

Explain the background of the present constitution of India and features.
Utilize the fundamental rights and duties.
Understand the working of the union executive, parliament and judiciary.
Understand the working of the state executive, legislature and judiciary.
Utilize the special provisions and statutory institutions.
Explain the background of the present constitution of India and features.
Utilize the fundamental rights and duties.
Understand the working of the union executive, parliament and judiciary.
Understand the working of the state executive, legislature and judiciary.
Utilize the special provisions and statutory institutions.

Even Semester

Courses for this semester

Course Overview

This course introduces students to operating system concepts, including process management, memory management, file systems, and device management. The accompanying lab focuses on Unix-based systems, providing hands-on experience in system administration and shell scripting.

Course Outcomes

Explain the basic concepts of Operating Systems and related concepts
Demonstrate the concepts of processes and threads, process scheduling including Throughput, Turnaround Time, Waiting Time, Response Time.
Identify the concept for optimally allocating memory to processes by increasing memory utilization and improving the access time.
Demonstrate and implement the concepts of deadlocks and reated concepts
Implement various techniques of memory and file management.

Course Overview

This course covers the principles of database management, including relational database design, SQL querying, transaction management, and database security. The lab component offers practical exercises in database creation, querying, and optimization.

Course Outcomes

Infer the basic concepts of database management system.
Discover the basic fundamentals of creating a database by using data definition, data manipulation and control languages.
Develop a database application and retrieve the values with the help of queries using SQL.
Design, analyze and evaluate the project developed for an application.
Demonstrate the concepts of database security, distributed database systems and object oriented databases

Course Overview

Students learn software design principles and techniques using Unified Modeling Language (UML). The lab sessions provide opportunities to apply UML diagrams for modeling software requirements, architecture, and behavior.

Course Outcomes

Describe basic concept of UML, design, implementation of test cases and OOP concep
Discuss and Analyses how to develop software requirements specifications for a given problem.
Explain and build DFD models
Develop various structure and behavior UML diagrams.
Explain the knowledge of project management tool Demonstrate how to manage file using Project Libre project management tool.

Course Overview

This course introduces students to innovation processes, intellectual property (IP) management, and entrepreneurial concepts. Topics include idea generation, patenting, licensing, business models, and startup strategies.

Course Outcomes

Discuss intellectual property strategy to protect inventions and innovations of new ventures.
Develop skills of commercial appreciation by allocating knowledge about substantive aspects of management, strategy and legal literature.
Support participants to recognize the various applications and methods of IP, as well as its nature, scope, and distinctions.
Appraise participants to manage and strategize IP lifecycle effectively throughout the journey of start-up, in a time when it is aspired highly by the economy and society.
Understand the fundamentals and advanced strategies of IP. Provide opportunity for understanding the same in MSME sector. Provide brief exposure about the valuation techniques and audits of IP.
Discuss intellectual property strategy to protect inventions and innovations of new ventures.
Develop skills of commercial appreciation by allocating knowledge about substantive aspects of management, strategy and legal literature.
Support participants to recognize the various applications and methods of IP, as well as its nature, scope, and distinctions.
Appraise participants to manage and strategize IP lifecycle effectively throughout the journey of start-up, in a time when it is aspired highly by the economy and society.
Understand the fundamentals and advanced strategies of IP. Provide opportunity for understanding the same in MSME sector. Provide brief exposure about the valuation techniques and audits of IP.

Course Overview

This course explores the principles and methodologies of design thinking, emphasizing user-centered problem-solving and iterative prototyping. Students learn to empathize with users, define problem statements, ideate solutions, prototype concepts, and test and iterate designs.

Course Outcomes

Compare and select problems suitable for DT projects and use techniques for empathetic research
Identify and document insights, user habits and identify user needs Visualise solutions, evaluate solution concepts
Create rough prototypes, gather feedback
Create high-fidelity prototypes. Test user experience
Identify a business model for a solution concept.Estimate financial results

Course Overview

This course covers mathematical modeling and optimization techniques for decision-making in business and engineering. Topics include linear programming, network optimization, integer programming, and simulation modeling. The lab component involves solving optimization problems using software tools.

Course Outcomes

Solve linear programming problems using appropriate techniques and optimization solvers, interpret the results obtained.
Determine optimal strategy for Minimization of Cost of shipping of products from source to Destination/ Maximization of profits of shipping products using various methods, Finding initial basic feasible and optimal solution of the Transportation problems
Optimize the allocation of resources to Demand points in the best possible way using various techniques and minimize the cost or time of completion of number of jobs by number of persons.
Model competitive real-world phenomena using concepts from game theory. Analyse pure and mixed strategy games
Formulate Network models for service and manufacturing systems, and apply operations research techniques and algorithms to solve these Network problems

Course Overview

This course provides an overview of traditional Indian knowledge systems, including Ayurveda, yoga, Vedic mathematics, and indigenous sciences. Students explore the philosophical, scientific, and cultural aspects of Indian traditional knowledge for holistic learning.

Course Outcomes

Illustrate the concept of Traditional knowledge and its importance.
Identify the need and importance of protecting traditional knowledge.
Outline the various enactments related to the protection of traditional knowledge.
Demonstrate the concepts of Intellectual property to protect the traditional knowledge.
Apply the traditional knowledge in different sectors.

Course Overview

This course provides an overview of key management principles and practices, including planning, organizing, leading, and controlling. Topics include organizational structure, decision-making processes, leadership styles, and strategic management concepts.

Course Outcomes

Illustrate the circumstances that lead to management evolution that affect future managers and analyze the influence of historical forces on the current practice of management
Identify and evaluate social responsibility and ethical issues involved in business situations and Adapt to an uncertain environment and identify techniques managers use to influence and control the internal environment.
Develop the process of management's four functions: planning, organizing, leading, and controlling
Evaluate leadership styles to anticipate the consequences of each leadership style.
Identify the areas to control and Selecting the Appropriate controlling methods/Techniques

Odd Semester

Courses for this semester

Course Overview

This course covers the principles of algorithm design and analysis, focusing on topics such as algorithm complexity, sorting algorithms, graph algorithms, and dynamic programming. Labs provide hands-on experience in implementing and analyzing algorithms.

Course Outcomes

Classify worst-case running time based on asymptotic analysis and justify the correctness of algorithm for a given problem.
Explain the greedy paradigm, dynamic-programming paradigm and divide-and-conquer paradigm.
Design a given model engineering problem using graph and write the corresponding algorithm to solve the problems.
Identify NP completeness and different NP complete problems.
Illustrate various advanced topics on algorithms

Course Overview

This course introduces the fundamentals of machine learning algorithms and techniques, covering topics such as supervised and unsupervised learning, neural networks, and model evaluation. Labs offer practical experience in applying machine learning algorithms to real-world datasets.

Course Outcomes

Outline the basic concepts of machine learning and Artificial Intelligence
Analyze various AI and ML techniques in expert systems and other machine learning models.
Illustration and application of supervised learning in different domains.
Applicaiton of un-supervised learning in expert systems.
Implementation of advanced concepts of AI and ML in emerging filed like Medical and Agricultural sciences.

Course Overview

This course explores cloud computing concepts, architectures, and technologies, covering topics such as virtualization, cloud service models, deployment models, and cloud security. Students learn to design, deploy, and manage cloud-based solutions for various applications and workloads.

Course Outcomes

Recall and summarize the basic concepts of cloud computing
Discuss the architectural design of cloud and illustrate various programming models.
Outline the virtualization technology and determine their uses.
Explain the basic threats and security mechanism in cloud
Summarize the cloud available platforms for business and industry perspective

Course Overview

This course focuses on enhancing communication skills for business contexts, including written, verbal, and interpersonal communication. Additionally, students learn about value science principles and their application in business decision-making and problem-solving.

Course Outcomes

Recognize the need for life skills and values
Identify own strengths and opportunities
Recognize the importance of vocabulary enrichment
Understand the basic tenets of communication and apply the basic communication practices in different types of communication
Apply the life skills to different situations

Even Semester

Courses for this semester

Course Overview

This course explores the principles and protocols of computer networks, covering topics such as network architectures, transmission media, routing algorithms, and network security. The lab component provides hands-on experience in configuring and troubleshooting network devices and protocols.

Course Outcomes

Demonstrate computer network basics, network architecture, TCP/IP and OSI reference models.
Examine various techniques and modes of transmission. Describe data link protocols, multi-channel access protocols and IEEE 802 standards for LAN
Describe routing and congestion in network layer with routing algorithms and classify IPV4 addressing scheme
Discuss the elements and protocols of transport layer
Analyse the different protocols used at application layer i.e. HTTP, SNMP, SMTP, FTP, TELNET and VPN

Course Overview

Students study the principles of information security, including encryption algorithms, access control mechanisms, network security protocols, and security policies. The lab component focuses on practical implementation and evaluation of security measures to protect data and systems from threats.

Course Outcomes

Formulate information security governance, and related legal and regulatory issues.
Devices how threats to an organization are discovered, analyzed, and dealt with.
Evaluate network security threats and countermeasures.
Construct network security designs using available secure solutions (such as PGP, SSL, IPSec, etc)
Acquire the knowledge of advanced security issues and technologies (such as DDoS attack detection and containment, and anonymous communications)

Course Overview

This course introduces students to artificial intelligence techniques, including machine learning, natural language processing, and computer vision. The lab component offers hands-on experience in developing AI applications, such as chatbots, image recognition systems, and recommendation engines.

Course Outcomes

Demonstrate the basic concepts of machine learning techniques and basic principles of Artificial Intelligence.
Explain the process of data pre-processing and feature extraction
Explore the philosophical and ethical implications of AI and its potential applications in society.
Outline the core machine learning algorithms, including supervised and unsupervised learning techniques.
Illustrate the metrics for evaluating the performance of machine learning models

Course Overview

Students learn the fundamentals of financial and cost accounting, including financial statement analysis, budgeting, cost allocation methods, and managerial accounting techniques. The course emphasizes the role of accounting information in decision-making and financial management.

Course Outcomes

Creating financial statements in accordance with appropriate standards. Interpret the business implications of financial statement information.
Apply critical thinking skills to analyze financial data as well as the effects of differing financial accounting methods on the financial statements
Define the needs of the various users of accounting data and demonstrate the ability to communicate such data effectively, as well as the ability to provide knowledgeable recommendations.
Apply cost accounting methods to evaluate and project business performance. To make allocation of cost of product, apportionment of cost of product.
Evaluate total cost of the product for fixing selling price.

Course Overview

This course focuses on effective business communication strategies and the application of value science principles in organizational settings. Topics include professional writing, presentation skills, negotiation techniques, and ethical considerations in business communication.

Course Outcomes

Recognize the need for life skills and values
Identify own strengths and opportunities
Recognize the importance of vocabulary enrichment
Understand the basic tenets of communication and apply the basic communication practices in different types of communication
Apply the life skills to different situations

Odd Semester

Courses for this semester

Course Overview

This course explores principles of usability design in software applications, covering user interface design, interaction design, and user experience evaluation. Students learn to create intuitive and efficient software interfaces through practical labs.

Course Outcomes

Apply the fundamentals of User Centered Design and User Experience their relevance and contribution to businesses
Apply the facets of User Experience (UX) Design, particularly to the digital artefacts
Examine the user research, solution conceptualization and validation as interwoven activities in the design and development lifecycle
Acquire the ability to constructively engage with the Design professionals they would work with in the future
Analyse and identify the methods to offer a better UI experience for the applications. Gain expertise in redesigning an existing Application or website for better user experience

Course Overview

This workshop introduces students to Scilab or Matlab software, focusing on numerical computation, data analysis, and visualization techniques. Labs provide hands-on experience in solving engineering problems.

Course Outcomes

Creating fundamental programs in Matlab, creating variables and mathematical functions
Programming the fundamentals concepts of basic Plotting consisting of simple and multiple data sets in one plot
Understand how to program matrix operations, array operations and how to solve the system of linear equations
Understand how to program M-file scripts , M- file functions, Input –output Arguments
Program control flow operators, loops, flow structures and debugging M-files

Course Overview

This course covers principles and practices of financial management, including financial analysis, budgeting, investment decisions, and risk management. Students gain insights into financial planning and decision-making processes in organizations.

Course Outcomes

Have a deeper understanding in objectives of financial management and enable the students to access the proper sources of finance for the business.
Enable the students to evaluate the finance plans on the basis of cost of capital and to acquaint a deeper knowledge in leverages in order to arrive a better finance decision.
Equip the students to construct an optimal capital structure through the conceptual knowledge on capital structure theories and enable them to take better dividend decisions.
Impart deeper understanding in working capital management to avail the adequate working capital for business functions.
Enable the students to evaluate the capital budgets through capital budgeting techniques.

Course Overview

This course explores key concepts and practices in human resource management, including recruitment, training, performance appraisal, and employee relations. Students learn strategies for managing human capital effectively.

Course Outcomes

Integrated perspective on role of HRM in modern business.
Ability to plan human resources and implement techniques of job design
Competency to recruit, train, and appraise the performance of employees
Rational design of compensation and salary administration
Ability to handle employee issues and evaluate the new trends in HRM

Even Semester

Courses for this semester

Course Overview

This course explores techniques for representing data visually to facilitate analysis and communication. Students learn to create effective visualizations using tools like charts, graphs, and dashboards to convey insights from data.

Course Outcomes

Understand the fundamental design principles and different types of data visualization
Identify both positive and negative impacts of data-informed decision across a variety of domains
Apply the fundamental concepts of data visualization to define a project in your field of study.
Practice the core principles using widely available tools (e.g. Tableau)
Demonstrate the best practice that presents your story in the process of creating data visualization including connecting to different data sources, assessing to the quality of the data, and converting raw data into data visualizations that provide actionable information.

Course Overview

This course covers fundamental concepts and techniques in marketing research and marketing management. Topics include market analysis, consumer behavior, product development, branding, pricing strategies, and promotional tactics.

Course Outcomes

Illustrate the different market research methods such as surveys, focus groups, interviews, observational studies, and data analysis techniques.
Develop skills in collecting, organizing, and analyzing marketing data using both qualitative and quantitative techniques.
Learn how to segment markets based on demographics, psychographics, behavior, and other factors.
Develop comprehensive marketing plans and strategies based on market research insights.
learn how to evaluate marketing performance using key performance indicators (KPIs), metrics, and marketing analytics tools. They should be able to assess the effectiveness of marketing campaigns, make data-driven recommendations, and adjust strategies based on performance feedback.

Common Scholarship Test

Apply Scholarship through CST

CST- Common scholarship test is a national and international level online MCQ based examination funded for intellectual empowerment by Assam down town University.

CST- Maximum enrolment each year is 120 seats and any 10+2 students can apply. Adtu is northeast India’s first placement driven university to provide 100% scholarship benefits worth 10 cr.

CST aims to inspire brilliant and competent students to pursue further education. Accredited with a prestigious grade by NAAC, UGC and AICTE.

How to Apply Apply Now

Campus Life

Our Facilities

World Class Facilities

Discover a multitude of world-class amenities and cutting-edge resources at Assam down town University, enhancing your academic journey to new heights.

Some of our Facilities

Library
Swimming Pool
Play Ground
Amphitheatre
Basketball Court
Cinema Hall

Cafeteria
Canteen
Indoor stadium
Yoga Studio
Gym
ATM

Start-Up &
Incubation Centre

The Start-Up & Incubation Centre at Assam down town University provides a supportive environment for young entrepreneurs to develop and grow their business ideas. The center provides mentorship, funding, and networking opportunities to help innovative ideas become successful businesses.

Rural Empowerment with SFURTI scheme

SFURTI scheme to support rural entrepreneurs and innovators, an initiative by the Ministry of MSME

TIDE 2.0 scheme for ICT-based startups

TIDE 2.0 scheme for ICT-based startups which provides a grant of Rs. 4L and Rs. 7L under EiR and Grant categories respectively, an initiative by the Ministry of MeitY.

dtVL Ideation interest-free loans up to Rs. 2 lakhs.

dtVL Ideation, an incubation program for early-stage entrepreneurs with a market-ready solution/product, offering interest-free loans up to Rs. 2 lakhs.

Innovation with Sprout UP program

Sprout UP, an incubation program for students, faculties, and researchers with innovative business ideas, prototypes, or technology solutions.

Job Creation

Support Start Ups

Govt and MSME Collaboration

International Tie-ups

Our Recruiters

What our Students say

Kailash Timsina

Student

"I am a BBA student of 3rd semester. I hail from Bhutan. I vow that I am having a great experience i...

Juliush Mushahary

Student

"AdtU is amazing. I am a BBA student of 2019-22 batch and I am just grateful for the amount of oppor...

Reshi Prasad Pokhrel

Student

Let us be grateful to the people and place who makes us happy. They are the charming gardeners whom ...

Debapriya Paul

Student

Currently I am pursuing MBA in Assam Down Town University. MBA is the professional course through wh...

Priti Jain

Student

AdtU is a university that focuses on giving knowledge, education and simultaneously making the stude...

Madhurya Bujar Barua

Student

The Assam downtown University has been a great learning experience. The university has provided me w...

Naeem Hussain

Student

My experience with AdtU has been splendid one indeed. Little needs to said about its scenic infrastr...

Dr Dipanjali Hazarika

Student

As a student I am very glad that I have got an opportunity to study here in Assam downtown universi...

Sakhyajit Roy

Student

My name is Sakhyajit Roy. I?m from Tripura. I joined the university on Auguest, 2017 as a student of...

Runi Bharadwaj

Student

I share immense pleasure to share my post graduate program experience in Assam down town University....

Jenifer Dhar

Student

AdtU is a platform where I got golden opportunities to feed my zeal for knowledge through the dynami...

Salehah Hussain Uthman

Student

I am fortunate to get an opportunity to study here in Assam Downtown University. The best thing abou...

Nisha Nirola

Student

Our university is one of the best place for developing ourselves in the field of research and acedem...

Liangsi Hallam

Student

ADTU is a university that is very good interms of infrastructure, academics and placements. Our tea...

Anushmita Kashyap

Student

It is one of best private colleges in North East India, it also provides a good environment for ed...

Dasanibha Mawphlang

Student

ADTU is a good University which provides the students with best quality lectures and ensures comfort...

Farhin zakia

Student

The environment of Assam downtown university is very pleasant.The department of BMLT is very good a...

Anamika Das

Student

The university has all the necessary facilities and amenities for students . The classrooms and the ...

Susmita Sinha

Student

Assam downtown University is well recognised all over india. In the ongoing pandemic situation it ha...

95% & above	100% Scholarship on all semester
90%-94.9%	50% Scholarship on all semester
80%-89.9%	25% Scholarship on all semester

National & International Level	100% Scholarship on all semester
State Level	50% Scholarship on all semester
District Level	25% Scholarship on all semester

National & International Level	100% Scholarship on all semester
State Level	50% Scholarship on all semester
District Level & NCC Certificate Holder	25% Scholarship on all semester

BTech(Computer Science and Engineering and Business Systems)

Our Apporach

Global Education, Global Acceptance

Industry-Academia Collaboration

AMAZON AWS Educate

Coursera

Specialization

Programme Specialization

Programme Details

4 Years Programme

Upto 100% Scholarship

100% Placement Assistance

Eligibility 60% in 10+2 wit Read More

Programme Overview

Programme Educational Objectives

Programme Outcomes

Programme Specific Outcomes

Curriculum Details

Year 1

Odd Semester

DISCRETE MATHEMATICS

Course Overview

Course Outcomes

INTRODUCTORY TOPICS IN STATISTICS, PROBABILITY AND CALCULUS

Course Overview

Course Outcomes

FUNDAMENTALS OF COMPUTER SCIENCE

Course Overview

Course Outcomes

PRINCIPLES OF ELECTRICAL ENGINEERING

Course Overview

Course Outcomes

PHYSICS FOR COMPUTING SCIENCE

Course Overview

Course Outcomes

BUSINESS COMMUNICATION & VALUE SCIENCE - I

Course Overview

Course Outcomes

Even Semester

LINEAR ALGEBRA

Course Overview

Course Outcomes

STATISTICAL METHODS & MODELLING

Course Overview

Course Outcomes

DATA STRUCTURES & ALGORITHMS

Course Overview

Course Outcomes

PRINCIPLES OF ELECTRONICS

Course Overview

Course Outcomes

FUNDAMENTALS OF ECONOMICS

Course Overview

Course Outcomes

ENVIRONMENTAL SCIENCES

Course Overview

Course Outcomes

Year 2

Odd Semester

FORMAL LANGUAGE AND AUTOMATA THEORY

Course Overview

Course Outcomes

COMPUTER ORGANIZATION & ARCHITECTURE

Course Overview

Course Outcomes

OBJECT ORIENTED PROGRAMMING

Course Overview

Course Outcomes

COMPUTATIONAL STATISTICS

Course Overview

Course Outcomes

SOFTWARE ENGINEERING

Course Overview

Course Outcomes

INDIAN CONSTITUTION

Course Overview

Course Outcomes

Even Semester

OPERATING SYSTEMS

Course Overview

Eligibility
60% in 10+2 wit
Read More