24A11-BCA/BSC CS Python Programming

Prabitha M

Credit:4 Lectureper week:3 Practicalper week:2 Course Outcomes (CO): CO1         Differentiate basic data structures (arrays, linked lists, stacks, queues) based on their                                 characteristics,operations, and real-world applications. CO2        Perform basic operations (e.g., )insertion, deletion, search) on fundamental data structures                         using a chosen programming language. CO3       Identify the properties and applications of advanced data structures (trees,graphs). CO4       investigate the properties of various searching and sorting Techniques CO5       Demonstrate critical thinking and problem-solving skills by applying data structures and                              algorithms to address complex computational challenges. CO6      Implement and analyse different data structure algorithms(to solve practical problems Detailed Syllabus:ModuleUnit Content Hrs(45+30)Marks(70)I Introduction to Data Structures and Basic Algorithms  1    Overview of Data Structures: Data type Vs. Data structure, ADT,Definition of Data structure, Data                structure Classification – Linear, Non- Linear (Array, Linked List, Stack, Queue, Tree, Graph)          Introduction to Arrays: Definition, Types (1 Dimensional, 2Dimensional, Multi-Dimensional, Sparse              matrix), Different Array Operations with Algorithm (insertion, deletion, traversal        Structures and Self-referential structures Introduction to Linked list: Definition, Types (Single linked             list,Doublelinked list, Circular linked list- concept only). Singly Linked List Operations with Algorithm           (insertion, deletion,traversal) 2    Introduction to Stack: Definition, stack operations with Algorithm, Applications: recursion, infix to                  postfix - example and Algorithm    Implementation of Stack: using array (overflow & underflow) and     Linkedlist (with algorithm)       Introduction to Queue: Definition, queue operations with Algorithm, Types: Double ended queue (Input        Restricted and Output restricted), Circular queue, Applications       Implementation of Queue: using array and Linked list (withalgorithm)I 3     Non- Linear Data Structures  Introduction to Trees: Basic terminology, Types(Binary tree-        complete,full, skewed etc., Expression Tree)        Properties of Binary tree, Applications. Binary tree representations- using array and linked list 2       Operations on Binary tree- Insertion, Deletion, Traversal- inorder, preorder, postorder - (concepts with        examples)       Algorithm of non-recursive Binary tree traversal         Introduction to Graph: Definition, Basic terminology, Types (Directed,Undirected, Weighted).   Graph         representation –Adjacency list and Adjacency Matrix, Applications. 4      Sorting and Searching : Introduction to Sorting: Definition, Classification (Internal, External)       Internal Sorting Algorithms: Selection sort- Selection sort algorithm,       Exchange sort- Bubble sort algorithm        External Sorting Algorithms: Merge sort- Demonstrate with example.(NoAlgorithm needed)        Advanced sorting Algorithm-: Quick sort- Demonstrate with example.        Introduction to Searching: Linear search and Binary search(Algorithm needed) with example.                      Hashing: Hash Tables, Hash Functions, Different Hash Functions –Division method, Multiplication             method, Mid square method, Folding Method, Collision and Collision resolution Techniques: Open      hashing- Chaining, Closed hashing- Probing5 5    Hands-on Programming in Data Structures: Practical        Implement the following:       1. Basic Operations in a single linked list (Menu driven)       2. Sort the elements in given singly linked list       3. Stack using array.       4. Stack using Linked list       5. Queue using Array       6. Queue using Linked list       7. Sorting algorithms- Selection, Bubble Sort       8. Searching Algorithms- Linear and Binary search

Prabitha M

Credit:4 Lecturre per week:3 Practicalper week:2 Total:Hour:5 Course Summary                               This course provides a comprehensive overview of computing, covering                     historical milestones, hardware components, software systems, and                     computational thinking principles. Students will explore the evolution of                     computing systems, from early pioneers to modern processors and quantum                     units. The curriculum delves into hardware intricacies, software distinctions,                     and essential concepts in computer science, emphasizing problem-solving                      skills and algorithmic thinking. Practical aspects include hands-on experiences                     with hardware assembling, operating system installation, algorithm and flowchart                                         visualization. Course Outcomes (CO) CO1       Develop a foundational knowledge of computing systems, encompassing their              historical development, evolutionar milestones, and the notable contributions key figures in the                     field. CO2        Acquire familiarity with diverse hardware  components constituting a computer system. CO3        Gain practical expertise by engaging in hands-               on activities focused on the installation and configuration of diverse hardware  components                          within a computer system. CO4        Explore the spectrum of software types, and actively participate in the partitioning,                installation, and configuration of operating                systems to cultivate a comprehensive              understanding of software systems. CO5       Develop a foundational understanding of computer science as a discipline, examining              problems through the lens of computational thinking and cultivating analytical skills to              address challenges in the field. CO6       Represent complex problems using algorithmic approaches and enhance problem-              solving skills by visualizing solutions through the utilization of various software tools.

Divya p FACULTY

Programme : BCA Course Code:BCA1CJ103 /BCA1MN 102 Course Title:  Discrete structures for computer application  Course Credit:  4  Course Summary :             This course provides a foundational understating of essential concepts that are fundamental to computer science and various branches of mathematics. The course explores topic related to propositional logic, sets and relations , Graphs and Trees. Course outcomes : CO1:Aquire a comprehensive  understanding of propositional logic and its applications CO2: Able to proficiently define and manipulate sets, analyse  relations and functions. CO3: Acquire basic understanding of graph theory including representations and types of graphs, their properties such as connectivity ,cycles, paths and degrees. CO4:Able to understand advanced concepts of graph theory , focusing Euler's graph, Hamiltonian graph, Isomorphism and Homeomorphism.