BABA Kuma Singh Ji engineering college- top engineering college in amritsar - amritsar

COURSE OVERVIEW

The M.sc IT curriculum consist of 3 semester of course work followed by a one-semester industrial internship. Courses are periodically revised to reflect the changing needs of the program. At present, following courses from part of the program.

Object oriented programming and Data Structure

The objective of this course is to discus object oriented programming and implementation of common data structures using OOP principles in C++. ADTs that covered are Lists, Stacks, Queues, Trees and Graphs. The course assumes student exposed to C programming. Student learn OOP based implementation of algorithms for stack/queue using arrays /list, binary search tree, AVL tree, 2-4 tree, Red- Black tree, tree traversal, heaps, dictionaries, depth-first-search, breadth-first search, and performance analysis of sorting, searching, traversal algorithms.

Computer Organization

This is a bootstrapping course on programming while giving inside functional view of a computer system. It intends to take students from bits to program – back and forth. Topics it covers are: nation of Data Types, Number representations; Concepts of Digital logic structures; Introduction to the Von Neumann Programming Model; introduction to small processor architecture like LC-3, and assembly programming on; and finally C; run-time memory layout of a C program.

Database Management Systems

This course is intended to give a solid background in database design and implementation with the focus on relational model. The course covers data modeling, theory of relational model, Functional Dependencies, and Normalization, Querying relational databases using Relational Algebra and SQL. Students also learn and practice creating stored procedures, accessing databases in host programming languages. The course also teaches Storage and Indexing structures, Query Execution and Transaction Processing concept.

Discrete Mathematics>

The objective of the course to build mathematical background needed for better understanding of computing techniques studied in various courses of the program. This course begins with quick revision of Logic, Sets, Relations and Functions, and provides a detailed discussion of Basics of counting (Permutations, Combinations, Recurrence relations, Solving Linear recurrence relations), Discrete Probability (Basic probability theory, Bayes theorem, expected value and variance), and Graph theory (Graph and graph models, graph representations, basic graph problems like traversals, shortest path and Euler paths).

Communication Skills

Understanding customer requirements and proposing design solutions is an integral part of an IT professional’s work. Therefore, written and oral communication and presentation skills must be acquired by any person working in the field of IT. This practice-oriented course aims to inculcate in students not only these skills but also habits related to modern work culture.

Algorithms

Asymptotic analysis: Big O, little o, omega, and theta notation, worst case and average case analysis, and solving recurrences. Algorithm Design Techniques: Brute-force algorithms, Divide-and-conquer, Dynamic programming, Greedy algorithms, Backtracking and Heuristics. ADTs that covered are Lists, Stacks, Queues, Trees, and Graphs. Sorting and Searching, Binary search trees, Hashing, Graph representations, Graph Algorithms (DFS, BFS, Shortest- path (Dijkstra’s and Floyd’s algorithms), Minimum spanning tree (Prim’s and Kruskal’s algorithms) and Topological sort.

Design of Software Systems

The objective of the course is to teach good software design practices at architectural level as well as component level. Prime focus is on designing software systems using object oriented principals. The scope of course begins with given software requirements and ends with producing a detailed design in software development life cycle. Emphasis is on learning Unified Modeling Language from the ground; students should be able draw UML diagrams using very basic tools like Dia. Students are encouraged to take a mid-size software design projects, submit detailed design and take up to the implementation. Students also learn and attempt to apply common design patterns

Enterprise Computing

Objective of the course is to learn whole array of java technologies for building enterprise applications. The course intends to provide lots of hands, and students are engaged in developing mid-size projects drawn from real world, using J2EE technologies. Technologies that are to be included are Core Java with Collections, Swing, and JDBC API; HTML, XML, JSP/Servlet. Use of MVC frameworks like Apache Struts for building java based web applications. Students are also exposed to various J2EE patterns.

ELIGIBILITY AND ADMISSION

Any bachelor degree holder  of a recognized University having Computer Science/ Computer Applications /Computer Engineering/ Information Technology/ Informatics as one of the major/core  subject, studied for at least  three  years, with a minimum of 50% marks (45% marks for SC/ST) in aggregate .