SEMESTER–I

Course Title: Mathematical Foundations of Computer Science

Course Code: MCAN101

At the end of the course the students would be able to:

• CO1: Compute the solution of Homogeneous and Non-homogeneous Recurrence relations.
• CO2: Explain and prove fundamental mathematical concepts such as sets, relations, functions, and recurrence relations using logical notation.
• CO3: Utilize basic number theoretic and algebraic concepts to analyze and solve practical computing problems.
• CO4:Apply structural principles of graphs and trees in figuring and solving real-life problems.

 Course Title: Data Structures using C

Course Code: MCAN102

At the end of the course the students would be able to:

• CO1: Understand the basics of C-Programming and to represent data items in real-world problems.
• CO2: Apply linear and non-linear data structures operations using C .
• CO3: Develop skills to apply appropriate data structures in problem-solving.
• CO4: Apply hashing concepts and evaluate the sorting algorithm for an application.

 Course Title: Object-Oriented Programming using Java

Course Code: MCAN103

 At the end of the course the students would be able to:

• CO1: Understand the OOPs concepts to solve real-world problems.
• CO2: Develop programs using Java collection framework and I/O classes.
• CO3: Design GUI-based applications using AWT Controls in par with scientific competence.
• CO4: Create Java programs that solve simple business problems.

Course Title: Computer Architecture

Course Code: MCAN104

 At the end of the course the students would be able to:

• CO1: Understand the design of the functional units of a digital computer system to enhance performance of IT tools.
• CO2: Manipulate representations of numbers, registers and microprocessors stored in digital computers to solve complex engineering problems.
• CO3: Explain the concept of Instruction sets, addressing modes in solving computer arithmetic problems.
• CO4: Understand the basics of pipelined architectures to pursue better career options in computer manufacturing organizations.

Course Title: Probability & Statistics

Course Code: MCAN105

 At the end of the course the students would be able to:

• CO1:Identify the characteristics of vector spaces, different probability, and sampling distributions.
• CO2:Apply the basic probability rules including sampling replacements, analysis of variance, and making decisions.
• CO3:Translate real-world problems into probability models.
• CO4: Acquire knowledge on vital statistics, testing hypotheses and calculate interval estimates of the mean and proportion. 

Course Title: Managerial Economics and Accountancy

Course Code:MCAN106

 At the end of the course the students would be able to:

• CO1:Apply the fundamental concepts of managerial economics to evaluate business decisions.
• CO2:Understand types of demand and determinants to overcome the consequences of different forms of markets.
• CO3:Identify different types of markets and determine price–output under perfect competition to analyze the market needs.
• CO4:Analyze and communicate the applications of economics to managerial issues and articulate possible solutions. 

PRACTICALS: 

Course Title: Soft Skills Lab

Course Code:  MAOC111

 At the end of the course the students would be able to:

• CO1:Develops clarity on career exploration process and to match their skills and interests with a chosen career path.
• CO2:Explains the use of functional and chronological resume.
• CO3:Develops thinking ability and polish their expression in terms of communication skills in group discussions.
• CO4:Apply Knowledge for the personal interview through mock interviews while being aware of the various kinds of interviews.

Course Title: Data Structures using C Lab

Course Code: MCAN112

 At the end of the course the students would be able to:

• CO1:Understand the importance of data structures in the context of writing efficient programs.
• CO2:Implement functions and recursive functions in C.
• CO3:Design and analyze the time and space efficiency of the data structure.
• CO4:Choose an appropriate sorting algorithm for an application and apply it in a modularized way.

 Course Title: Java Programming Lab

Course Code: MCAN113

 At the end of the course the students would be able to:

• CO1: Create logically strong I/O programs on par with real-world problems.
• CO2:Develop simple Java programs using Java collection framework.
• CO3:Design multithreaded programs and understand the client-server environment.
• CO4:Develop GUI programs using swing controls in Java.

 SEMESTER–II

 Course Title: Operating Systems

Course Code: MCAN201

 At the end of the course the students would be able to:

• CO1:Understand the operating system concepts and working of various components
• CO2:Illustrate different process scheduling algorithms and synchronization techniques to achieve better performance of a computer system
• CO3: Analyze different approaches to memory management, protection and security issues.
• CO4:Apply the process management, scheduling, and memory management in Linux Environment

  Course Title: Database Management System

Course Code: MCAN202 

At the end of the course the students would be able to:

• CO1:Understand the theories and techniques in developing database applications and design the entity-relationship model.
• CO2:Apply the relational database theory to formulate advanced SQL queries for developing real-time database applications.
• CO3: Identify the key notions of query evaluation and optimization techniques to have a high-level understanding of major DBMS components.
• CO4:Formulate queries using SQL and apply Normalization to design enterprise-level databases. 

Course Title: Design and Analysis of Algorithms

Course Code: MCAN203

At the end of the course the students would be able to:

• CO1: Analyze and apply the asymptotic performance of algorithms to design an innovative solution
• CO2:Design and develop algorithms using Greedy, Divide and Conquer, Dynamic Programming and Backtracking for problem-solving.
• CO3:Evaluate the efficiency of alternative solutions derived for a problem by applying traversal and searching techniques.
• CO4:Analyze the performance of algorithmic design techniques using P, NP, NP-Hard and NP-Complete 

Course Title: Artificial Intelligence

Course Code: MCAN204

At the end of the course the students would be able to:

• CO1:Analyze the implications of applying AI systems to Organizations to meet the technical requirements.
• CO2:Create organizational intelligence using a holistic approach to enterprise systems based on knowledge representation approaches.
• CO3:Solve real-world problems in organizational processes and workflows by applying critical thinking and problem-solving skills.
• CO4:Integrate the importance of Artificial Neural Networks in the current competitive world and implement appropriate intelligent systems. 

Course Title: Machine Learning

Course Code: MCAN205

At the end of the course the students would be able to:

• CO1:Analyze proficiency in applying the machine learning algorithms to solve problems of moderate complexity.
• CO2:Identify suitable patterns of Machine Learning models for different regression problems and apply principles to evaluate them.
• CO3:Understand the key issues in Machine Learning and its associated applications to design intelligent systems with scientific competence.
• CO4:Design and implement various machine learning algorithms in a range of real-world applications.

 Course Title: Operations Research

Course Code: MCAN206

At the end of the course the students would be able to:

• CO1:Analyze any real-life system with finite constraints and formulate the problem into a mathematical
• CO2:Understand a variety of problems such as linear programming, assignment, transportation, dynamic programming etc.
• CO3:Identify and simulate different real-life probabilistic situations using best strategy methods of game theory.
• CO4:Formulate and solve problems as networks and graphs. 

Course Title: Fundamentals of Digital Marketing

Course Code: MAOC201

At the end of the course the students would be able to:

• CO1:Illustrate a comprehensive understanding of the impact of marketing in the digital environment in real-world scenarios.
• CO2:Develop a digital marketing plan that will address common marketing challenges.
• CO3:Comprehend the importance of conversion and working with digital marketing campaigns.
• CO4: Analyze the key digital marketing activities needed for competitive success.

PRACTICALS:

Course Title: Operating Systems Lab

Course Code: MCAN211

 At the end of the course the students would be able to: 

• CO1:Understand basic programs on CPU scheduling.
• CO2:Create memory management algorithms using shell programming.
• CO3:Demonstrate programs on synchronization problems.
• CO4:Create disk scheduling algorithms.

Course Title: DBMS Lab

Course Code: MCAN212

 At the end of the course the students would be able to:

• CO1:Create Database Tables by using SQL commands.
• CO2:Develop PL/SQL programs using stored procedures, functions, cursors and packages.
• CO3:Illustrate user access and authorization controls for data security.
• CO4:Design and build Forms and Reports using advanced SQL.

 SEMESTER–III

Course Title: Software Engineering

Course Code: MCAN301

At the end of the course the students would be able to:

• CO1: Classify various software engineering methods and process models for solving software problems.
• CO2:Summarize the requirements analysis to organize SRS documents and demonstrate the software design approaches.
• CO3:Apply various software design models using function-oriented and object-oriented designs.
• CO4:Illustrate the code and explain different testing approaches in the final stage of project development.

Course Title: Computer Networks

Course Code: MCAN302 

At the end of the course the students would be able to:

• CO1:Recognize the technological trends of Computer Networking for connecting the IT Tools.
• CO2:Understand the concepts of data communication to operate networks using ISO model.
• CO3:Analyze and design the topological and routing strategies for an IP-based networking infrastructure.
• CO4:Apply channel allocation, framing, error and flow control techniques to minimize the cyber-attacks in a network.

Course Title: Data Science

Course Code: MCAN303

At the end of the course the students would be able to:

• CO1:Understand the fundamental concepts of data science to nurture their analytical skills.
• CO2:Describe decision trees, regression methods and explain the applicability of these algorithms to solve data science problems.
• CO3:Solve data analytical problems using neural networks and support vector machines.
• CO4:Evaluate& improve the performance of classification and clustering techniques.

Course Title: Python Programming

Course Code:MCAN304 

At the end of the course the students would be able to:

• CO1:Understand core programming basics using functions in Python Programming.
• CO2:Develop the ability to write database applications in Python.
• CO3:Discover high-performance programs using Python packages and modules intended to strengthen the practical expertise.
• CO4:Identify real-world application using OOPs, files and exceptional handling provided by Python.

Course Title: Information Security(Professional Elective–I)

Course Code: MCAN305A 

At the end of the course the students would be able to:

• CO1:Understand Information security threats, security services, and countermeasures.
• CO2:Evaluate the risks faced by computer systems pertaining to Cyber regulations.
• CO3:Explain how standard security mechanisms work using firewalls and VPNs.
• CO4:Apply cryptography algorithms, digital forensics and protocols to achieve system security.

Course Title: Natural Language Processing(Professional Elective-II)

Course Code: MCAN306D

At the end of the course the students would be able to:

• CO1:Understand the fundamental concepts and techniques of Natural Language Processing.
• CO2:Analyze large volume text data generated from a range of real-world applications.
• CO3:Determine the use of appropriate descriptions, visualizations, and statistics to communicate the problems and their solutions.
• CO4:Analyze Parts of Speech tagging for a given natural language and apply modeling techniques based on the vector space model.

PRACTICALS: 

Course Title: Software Engineering Lab

Course Code: MCAN311

At the end of the course the students would be able to:

• CO1:Gain the knowledge of selecting a case study and modelling it using nine UML diagrams.
• CO2:Identify the requirements and model the use case, sequence, collaboration and activity diagrams.
• CO3:Implement structural modelling through collaboration diagrams and dynamic modelling through sequence diagrams.
• CO4:Understand the overall system’s hardware and software implementation through deployment diagrams.

Course Title: Data Science Lab

Course Code:MCAN313

At the end of the course the students would be able to:

• CO1:Demonstrate how to install and configure R studio.
• CO2:Visualize and analyze data sets by use of various plots.
• CO3:Analyze Correlation, co-variance, and Regression models.
• CO4:Evaluate performance of classification and cluster methods.

Course Title: Python Programming Lab

Course Code: MCAN314 

At the end of the course the students would be able to:

• CO1:Understand the basic concepts of scripting and the contributions of scripting language.
• CO2:Explore the Object-oriented concepts and the built-in objects of Python.
• CO3:Create practical and contemporary applications such as TCP/IP, Network programming, web applications and discrete event simulations.
• CO4:Interpret the fundamental python syntax and semantics for proficiency in data structures like lists, tuples, dictionaries and sets.

SEMESTER–IV 

Course Title: Big Data Analytics(Professional Elective–III)

Course Code: MCAN401B

At the end of the course the students would be able to:

• CO1:Understand Big Data and its analytics in real-world
• CO2:Articulate the database concepts related to big data solutions using Hadoop Ecosystem.
• CO3:Design and Implementation of Big Data Analytics using pig and spark to solve data-intensive problems and analytics.
• CO4: Develop reports using No SQL and Manage Job Execution in Hadoop Environment.

Course Title: Cyber Security(Professional Elective–IV)

Course Code: MCAN402A

At the end of the course the students would be able to:

• CO1:Analyze various types of cybercrimes and study legal frameworks to deal with these cybercrimes.
• CO2:Interpret the policies and security evolution to understand cyber laws.
• CO3:Speculate and assess the cyber security needs of an organization.
• CO4:Apply tools used in cybercrimes and laws governing cyberspace.

Course Title: Organization Behaviour (Open Elective)

Course Code: MCAN403D

At the end of the course the students would be able to:

• CO1: Analyze the management process and its functions in managerial tasks.
• CO2: Understand the approaches of decision-making and negotiations towards planning.
• CO3: Apply psychological contract and content theory for the growth of organizations.
• CO4: Analyze models of organizational behaviour and evaluate organizational culture and design.

PROJECT: 

Course Title: Project Work

Course Code: PROJN411

At the end of the course the students would be able to:

• CO1:Understand how to capture project requirements and implement software life cycle for the given requirements.
• CO2:Design a real-time solution for the given software requirement specifications.
• CO3:Develop the solution for the chosen problem.
• CO4:Writes test cases and develop the entire process of a particular problem