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Seminar in Computer Science (PhD)
Master Seminar in Computer Science (PhD) in University - Computer Science with this structured course, covering 8 modules and practice assessments.
Course Overview
Master Seminar in Computer Science (PhD) in University - Computer Science with this structured course, covering 8 modules and practice assessments. Curriculum Structure & Core Modules: • 1. Introduction to Computer Systems & Algorithmic Thinking • 2. Programming Fundamentals:...
What You'll Learn
- Understand and apply the principles of Critical Review of Foundational CS Theories
- Work confidently through Presenting and Defending Research Positions and its practical applications
- Analyse real-world scenarios involving Theory Testing in Empirical CS Research
- Develop applied skills in Comparative Analysis of Research Paradigms
- Critically evaluate approaches to Theory Development Workshop
Requirements
- Prior coursework or practical experience in University - Computer Science is recommended before starting this course
- A computer, tablet or smartphone with a stable internet connection
- Willingness to commit regular study time to complete lessons, quizzes and assignments
Degree Programme Curriculum Context
This course is a curriculum unit of the PhD in Computer Science degree framework in Nigeria.
Earn Your Certificate
Showcase your skills with a certificate! Complete the course, submit your project, and earn your certificate. Here's a sample of what you'll receive to show off your accomplishments.

Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
University Level Course Introduction to Computer Systems & Algorithmic Thinking Introduction to Computer Systems & Algorithmic Thinking - Concept Explanation & Foundations Syllabus Reference: Introduction to Computer Systems & Algorithmic Thinking 1. Academic Context & Benchmarking This lecture has been benchmarked against the advanced curriculum standards of leading international and domestic ins...
University Level Course Introduction to Computer Systems & Algorithmic Thinking Introduction to Computer Systems & Algorithmic Thinking - Worked Examples & Case Analysis Syllabus Reference: Introduction to Computer Systems & Algorithmic Thinking 1. Academic Context & Benchmarking This lecture has been benchmarked against the advanced curriculum standards of leading international and domestic insti...
University Level Course Introduction to Computer Systems & Algorithmic Thinking Introduction to Computer Systems & Algorithmic Thinking - Practice Questions & Exercises Syllabus Reference: Introduction to Computer Systems & Algorithmic Thinking 1. Academic Context & Benchmarking This lecture has been benchmarked against the advanced curriculum standards of leading international and domestic instit...
Academic Ecosystem & Connected Pathways
Deepen your studies across connected learning pathways in the PAMCET academic network:
Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
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Course Includes
Download Syllabus & Study Guide
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