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Introduction to Computer Science – CS 1111

This course is designed to provide students with foundational understanding of key computer science principles such as an exploration of diverse topics including number systems, logic gates, operating systems, computer networks, security, databases, programming fundamentals, and different aspects of the field of computer science. With a structured approach and a balanced blend of theory and practical insights, this course endeavors to lay robust groundwork for aspiring computer scientists, fostering their proficiency and insight across this dynamic discipline. 

 Learning Objectives and Outcomes:

By the end of this course students will be able to:

  1. 1. Demonstrate basic foundational knowledge of computer systems.
  2. Identify and apply basic concepts of Number Systems, Boolean Algebra, and Logic Gates.
  3. Explain the working fundamentals of operating systems, computer networks, security and databases.
  4. Describe programming paradigm problems and identify and correct the syntax.
  5. Discuss emerging trends in the field of computing.

Course Schedule and Topics

This course will cover the following topics in eight learning sessions, with one Unit per week. The Final Exam will take place during Week/Unit 9 (UoPeople time).

Week 1: Unit 1 – Introduction to Computer Systems

Week 2: Unit 2 – Number Systems and Codes

Week 3: Unit 3 – Boolean Algebra and Logic Gates

Week 4: Unit 4 – Operating Systems

Week 5: Unit 5 – Overview of Databases Management System

Week 6: Unit 6 – Computer Networks and Security

Week 7: Unit 7 – Programming Fundamentals

Week 8: Unit 8 – Overview of Emerging Trends

Week 9: Unit 9 – Course Review and Final Exam

Learning Guide

The following outlines how this course will be conducted, with suggested best practices for students.

Week 1: Unit 1 – Introduction to Computer Systems
  1. Compare and contrast different computer system architectures and their implications on performance.
  2. Explain the concept of the stored-program concept and its importance in modern computing.
  3. Explain the role of secondary storage devices in terms of data persistence, capacity, and access speed.
  4. Differentiate between system software, application software and embedded software, and their roles in a computing environment.
Week 2: Unit 2 – Number Systems and Codes
  1. Explain the conversion of numbers between binary, decimal, octal, and hexadecimal number systems.
  2. Compare and contrast the different coding representations in terms of character set size, compatibility, and usage in various industries.
Week 3: Unit 3 – Boolean Algebra and Logic Gates
  1. Utilize the laws of Boolean algebra to simplify complex Boolean expressions.
  2. Explain the relationship between De Morgan’s theorems and other Boolean algebra laws in solving logical problems.
  3. Construct truth tables for different logic gates and combinations of gates.
  4. Determine the equivalence of Boolean expressions using algebraic manipulation and truth tables.
Week 4: Unit 4 – Operating Systems
  1. Examine the core functions of an operating system, such as process management, memory management, file system management, and device management.
  2. Discuss the advantages and challenges associated with various types of operating systems in terms of performance, scalability, and fault tolerance.   
  3. Discuss the key features and characteristics of mobile operating systems.
Week 5: Unit 5 – Overview of Databases Management System
  1. Explain the core components and applications of databases, including their advantages and disadvantages.
  2. Explain the concepts of data abstraction and data independence.
Week 6: Unit 6 – Computer Networks and Security
  1. Explain network fundamentals, including types, topologies, and connecting devices.
  2. Explain the internet components and security principles.
Week 7: Unit 7 – Programming Fundamentals
  1. Elaborate on the fundamental principles that distinguish the different programming paradigms and their respective applications.
  2. Illustrate the importance of thorough problem analysis and efficient design in developing resilient software solutions.
  3. Create algorithms that involve sequencing, conditional selection, and iterative loops to solve specific tasks.
  4. Use debugging techniques and tools to identify and rectify logical errors.
Week 8: Unit 8 – Overview of Emerging Trends
  1. Elaborate on the concepts of machine learning.
  2. Explain cloud computing, big data processing, and blockchain technology.
  3. Explain the IoT and robotics systems.
  4. Discuss the notion of virtual reality (VR).
Week 9: Unit 9 – Course Review and Final Exam

Introduction to Computer Science – CS 1111

9 Weeks
BCS, ACS,
3 Credits
Prerequisites - None
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