loader image
Skip to main content

24CSC1CJ101101 Funtamentals Of Computers andComputational Thinking

FREE
Updated 30 Oct 2024
Lessons 5
Enrolled 11
Language English ‎(en)‎
Skill Level Beginner

Course Overview

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.

Course Content

Loading...

Enrolment options

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.

Skill Level: Beginner
Guests cannot access this course. Please log in.

Related Courses

5 Lessons
Updated: Sep 2025
Computer Science

To review on concept of OOP To learn java programming environment To practice programming in java To learn GUI application development in java

5 Lessons
Updated: Sep 2025
46 Enrolled

This course explores implementations of linked list and array-based datastructures, delving into the inner workings of basic data structuresincluding lists, stacks, queues, trees, and graphs.

7 Lessons
Updated: Sep 2025

Objectives • To learn engineering practices in Software development. • To learn various software development methodologies and practices. • To learn and study various Evaluation methods in Software Development

5 Lessons
Updated: Sep 2025
70 Enrolled

Latest Courses

5 Lessons
Updated: Sep 2025

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.

5 Lessons
Updated: Sep 2025
Computer Science

To review on concept of OOP To learn java programming environment To practice programming in java To learn GUI application development in java

5 Lessons
Updated: Sep 2025
46 Enrolled

This course explores implementations of linked list and array-based datastructures, delving into the inner workings of basic data structuresincluding lists, stacks, queues, trees, and graphs.

7 Lessons
Updated: Sep 2025
5 Lessons
Updated: Sep 2025
5 Lessons
Updated: Sep 2025
5 Lessons
Updated: Sep 2025
5 Lessons
Updated: Sep 2025
5 Lessons
Updated: Sep 2025