Fundamentals
of Computer Engineering
1.
Introduction
Computer engineering is the foundation of modern
technology, combining principles of electrical engineering, computer
science, and information technology to design, develop, and optimize
computer systems and digital solutions.
The Fundamentals of Computer Engineering Course
provides participants with essential theoretical knowledge and practical skills
in computer architecture, hardware systems, digital logic design, networking,
and software fundamentals. It prepares learners for careers in IT, electronics,
and engineering, offering a solid base for further specialization in advanced
computing fields.
2. Course
Objectives
By the end of this course, participants will be
able to:
- Understand
the core concepts and principles of computer engineering.
- Explain
the structure, functions, and operations of computer systems.
- Apply
knowledge of digital logic and circuit design.
- Understand
hardware and software integration in computing systems.
- Develop
problem-solving skills using algorithms and programming logic.
- Gain
foundational knowledge in computer networking and data communication.
- Learn
the basics of operating systems and computer maintenance.
- Prepare
for advanced studies or entry-level positions in computer-related
disciplines.
3.
Targeted Group
This course is designed for:
- Students
and graduates pursuing computer, electrical, or electronic engineering.
- IT
and technical support professionals seeking deeper understanding of
computer systems.
- Aspiring
software developers and hardware technicians.
- Educators
and trainers in computer science and technology fields.
- Anyone
interested in building foundational knowledge of computer engineering.
4. Course
Duration
Total
Duration: 4 weeks
(96 contact hours)
Delivery Options:
- Instructor-led
classroom lectures
- Online
interactive sessions with practical demonstrations
- Hands-on
laboratory and project-based learning
5.
Training Methodology
- Interactive
lectures with multimedia presentations
- Practical
laboratory experiments and demonstrations
- Group
discussions and collaborative projects
- Case
studies on computer engineering applications
- Quizzes
and periodic assessments for learning reinforcement
- Final
capstone project integrating multiple course concepts
6. Course
Content
Module 1:
Introduction to Computer Engineering
- Definition,
scope, and applications
- Relationship
between hardware, software, and networking
- Overview
of computing technologies and careers
Module 2:
Computer System Components and Architecture
- Input,
output, processing, and storage components
- CPU
structure, control unit, and ALU functions
- Computer
system hierarchy
Module 3:
Number Systems and Data Representation
- Binary,
decimal, octal, and hexadecimal systems
- Data
conversion and arithmetic operations
- Representation
of characters and instructions
Module 4:
Digital Logic and Circuit Design
- Logic
gates and Boolean algebra
- Combinational
and sequential circuits
- Flip-flops,
registers, and counters
Module 5:
Microprocessors and Microcontrollers
- Evolution
and architecture of microprocessors
- Function
of microcontrollers in embedded systems
- Instruction
cycles and interfacing techniques
Module 6:
Memory Systems and Storage Devices
- Types
of memory: RAM, ROM, cache, and virtual memory
- Storage
technologies (HDD, SSD, optical, flash)
- Memory
hierarchy and management
Module 7:
Input and Output Systems
- Peripheral
devices and data input/output methods
- Device
controllers and drivers
- Human-computer
interaction basics
Module 8:
Operating Systems Fundamentals
- Role
and functions of an operating system
- Process
management, scheduling, and multitasking
- File
systems and user interfaces
Module 9:
Computer Networking and Communication
- Network
types: LAN, WAN, MAN
- OSI
and TCP/IP models
- Network
hardware and data transmission principles
Module
10: Introduction to Programming Concepts
- Algorithm
development and flowcharts
- Programming
paradigms and logic
- Basic
programming structures (loops, conditions, arrays)
Module
11: Computer Hardware Assembly and Troubleshooting
- PC
components identification and installation
- BIOS/UEFI
configuration
- Troubleshooting
common hardware issues
Module
12: Data Storage and File Management
- File
organization methods
- Data
backup and recovery techniques
- Storage
optimization and data integrity
Module
13: Power Systems and Computer Electronics
- Power
supply units and voltage regulation
- Electronic
components (transistors, resistors, capacitors)
- Circuit
safety and grounding techniques
Module
14: Emerging Technologies in Computer Engineering
- Artificial
Intelligence (AI) and Machine Learning (ML) basics
- Internet
of Things (IoT) and embedded systems
- Cloud
computing and edge technologies
Module
15: Computer Security and Maintenance
- Cybersecurity
fundamentals
- System
updates, antivirus, and threat management
- Preventive
maintenance and performance optimization
Module
16: Capstone Project – Building a Functional Computer System
- Assembling
and configuring a working computer
- Installing
and optimizing operating systems
- Presenting
and documenting project outcomes
7.
Expected Outcomes
Participants who complete this course will be able
to:
- Explain
fundamental principles of computer hardware, software, and digital
systems.
- Build
and maintain functional computer systems.
- Demonstrate
understanding of computer architecture, logic design, and data
representation.
- Develop
problem-solving skills in computing and digital electronics.
- Understand
networking, programming, and system integration.
- Apply
basic cybersecurity and system maintenance practices.
- Prepare
for advanced technical courses or entry-level computer engineering roles.
8.
Certificate of Completion
Participants who complete all modules, laboratory
sessions, and the capstone project will receive:
🎓 Certificate of Completion –
Fundamentals of Computer Engineering
Issued by: FOTADE Training, Research and Resource Development
Centre
This certificate confirms the participant’s
foundational competence in computer engineering principles, systems design,
and digital technologies, qualifying them for further studies or technical
roles in the IT and engineering sectors
