JJ2025 Computer Science Lecture Note

Introduction to Computer Science (COSC 101)

• Course Specification Overview:

  • Course Description:

    • Fundamentals of Computer Science and Information Technology, including computer components, functions, and data processing.

    • Covering Industry 4.0, technology trends, and security awareness.

    • Introduction to BI (Business Intelligence) applications for top management reports.

    • Strong foundation in Python Programming Language for analytics.

  • Reason for the Course:

    • Provides foundation in IT systems and applications relevant in business settings.

    • Prepares students for roles that require effective use of IT to optimize processes and decision-making.

  • Study Hours:

    • 3 Credits, comprising:

      • Lecture Hours: 45

      • Self-Study Hours: 115

  • Role in Curriculum:

    • No prerequisites but basic knowledge of Microsoft Office and computer usage expected.

Course Learning Outcomes (CLO)

• Knowledge:

  • Describe computer components (CK1)

  • Explain Python Programming (CK2)

• Cognitive Skills:

  • Analyze ALU operations (CC1)

  • Use Power BI for reports (CCIT1)

  • Apply Power BI to visualize business content (CCIT2)

• Interpersonal Skills:

  • Work effectively in a team (CIP1)

Assessment and Grading

• Assessment Components:

  • Attendance, quizzes, midterm, and final exams based on various skills with assigned weightings.

Teaching and Learning Methods

• Primarily lecture and activity-based with half the time on lectures and the rest on case studies and practical activities involving Power BI and Python.

Study Plan Overview

• 30 lesson outlines targeting learning outcomes per lesson, integrated with assigned readings.

Textbooks and References

• Key Textbooks:

  1. Roger F. Silva, Power BI - Business Intelligence Clinic (2023)

  2. Charles Russell Severance, Python for Everybody: Exploring Data In Python 3

• References Include:

  • Johnsie Barillo (2022) on computer components.

  • Ustundag (2018) on Industry 4.0.

  • Online resources from Microsoft and Python documentation.

Introduction to Computer Architecture

Components of a Computer

• Hardware:

  • CPU (Processor), primary memory, input/output devices, storage devices.

• Software:

  • Instructions that determine computer operations, including application software and system software (OS).

Central Processing Unit (CPU)

• Functions:

  • Processes data and coordinates computer activities.

  • Consists of Control Unit (CU), Arithmetic Logic Unit (ALU), Registers.

• Performance Metrics:

  • Clock speed measured in Hertz (MHz).

Input and Output Devices

• Input Devices:

  • Convert human-friendly data into formats suitable for computers (e.g., keyboard, mouse).

• Output Devices:

  • Translate processed computer information back into human-friendly formats (e.g., monitors, printers).

Software Types

• System Software:

  • Operating systems (e.g., Windows, UNIX) that manage hardware resources.

• Application Software:

  • Tools for end-users (e.g., Word processors, Spreadsheets).

Industry 4.0, Digital Technology, and Security Awareness

The 4th Industrial Revolution

• Characteristics:

  • Empowering people with technology changes across sectors.

  • Benefits include increased productivity and flexibility, with challenges such as job displacement.

Key Emerging Technologies

• AI, IoT, and Cloud Technology:

  • AI drives automation and smart data handling.

  • IoT connects diverse devices, enhancing data exchange.

  • Cloud computing provides flexible resource management and data storage.

Cybersecurity Essentials

• Cyber threats:

  • Viruses, ransomware, spyware, and their characteristics.

• Protection Measures:

  • Use antivirus software, firewalls, avoid sharing passwords, and keep software updated.