Course Details Credit : 4 Lecture per week : 4 Total Hours : 60 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 foundational knowledge of computing systems, including their history, evolution, and key contributors. CO2: Acquire familiarity with diverse hardware components of a computer system. CO3: Gain practical expertise in installing and configuring various hardware components. CO4: Understand software systems through partitioning, installation, and configuration of operating systems. CO5: Develop a foundational understanding of computer science, focusing on computational thinking and problem-solving. CO6: Represent and solve complex problems using algorithmic approaches and various software tools.
Contact Hours per Week: 6 (3L + 3P)Number of Credits: 3Number of Contact Hours: 96 Hrs.Course Evaluation: Internal: 15 Marks + External: 60 Marks Objectives To review on concept of OOP. To learn Java Programming Environments. To practice programming in Java. To learn GUI Application development in JAVA. Course Outcomes CO1. Knowledge of the structure and model of the Java programming language,CO2.Use the Java programming language for various programming technologiesCO3.Develop software in the Java programming language,CO4.Evaluate user requirements for software functionality required to decide whetherthe Java programming language can meet user requirements
UNIT V [10 T + 14 L]Introduction to graphs, Definition, Terminology, Directed, Undirected & Weighted graph,Representation of graphs, graph traversal- depth-first and breadth-first traversal of graphs,applications.Searching: sequential searching, binary searching, Hashing – linear hashing, hash functions, hashtable searching; Sorting: Quick Sort, Exchange sort, Selection sort and Insertion sort.
BCA3C05-Computer Oriented Numerical & Statistical Methods Number of credit : 3 Contact hours per week : 5 Course evaluation : 15marks (internal )+ 60 marks ( External) Aim of the Course : To learn numerical differentiation and integration To learn the basics of statistics and probability theory UNIT II Interpolation and approximation Lagrange , newton interpolation Finite difference operators Simpson's 1/3 rule and trapezoidal rule UNIT IV Curve fitting : Principles of least squares , Fitting of straight line Correlation and Regression , Rank correlation Probability theory .
BCS5D02 - Web designing course number-:29 course hours per week-:3T number of contact hours-:48 hrs course evaluation-:internal-15 marks +external-60 marks =75 marks
Course Number: 15Contact Hours per Week: 4TNumber of Credits: 4Number of Contact Hours: 64Hrs.Course Evaluation: Internal – 20 Marks + External – 80 Marks Course Outcomes:The students will be able to CO1 Explain resistance, inductance and capacitance transducers. CO2 Perceive the concepts of temperature and pressure transducers CO3 Perceive the concepts level transducers such as and flow transducers CO4 Explain Electromagnetic transducers and radiation sensors CO5 Explain force and torque transducers and sound transducers Text Books: 1. D Patranabis, Sensors and Transducers, PHI, 2nd Edition.2. Murthy D.V.S―Transducers and Instrumentation, 2nd Edition, Prentice Hall of India Private Limited,New Delhi, 2010.Reference Books: 1. E.A. Doebelin, Measurement Systems: Application and Design McGrawHill, NewYork2. A.K. Sawhney- A course in Electrical & Electronic Measurement and Instrumentation, Dhanpat Rai andCompany Private Limited.3. S.Renganathan―Transducer Engineering, Allied Publishers, 2005
Course Description: The Academic Project course aims to provide students with hands-on experience in designing, developing, and implementing a comprehensive project. This project will enable students to apply theoretical knowledge gained throughout their BCA program to solve real-world problems. Course Outcomes: By the end of this course, students will be able to: Identify and define a problem relevant to the field of computer applications. Conduct a literature review and feasibility analysis for the proposed project. Design a project plan, including timelines and milestones. Develop a software solution using appropriate tools and technologies. Test and validate the developed software. Document the project in a comprehensive report. Present the project effectively to an audience.
Course Number: 25Contact Hours per Week: 4 TNumber of Credits: 3Number of Contact Hours: 64 Hrs.Course Evaluation: Internal – 15 Marks + External – 60 MarksObjectives of the Course:• To learn logic gates, combinational circuits and sequential circuits• To learn basics of computer organization and architecture Course Outcomes: CO1 - To make students understand the basic structure, operation and characteristics of a digital computer. CO2 - To familiarize with Computer Instruction and Interrupt Design CO3 - To make students know the different types of control unit and Addressing Modes CO4 - To familiarize with the Memory organization including cache memories and virtual memory CO5 -To understand the I/O devices and standard I/O interfaces
