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PhD DegreeFaculty of Faculty of Computing & Information TechnologyComputer Science
Periodic Seminar Presentations (Computer Science PhD)
Master Periodic Seminar Presentations (Computer Science PhD) in University - Computer Science with this structured course, covering 6 modules and practice assessments.
Course Overview
Master Periodic Seminar Presentations (Computer Science PhD) in University - Computer Science with this structured course, covering 6 modules and practice assessments. Curriculum Structure & Core Modules: • 1. Introduction to Computer Systems & Algorithmic Thinking • 2....
What You'll Learn
- Understand and apply the principles of Structuring Progress Seminar Presentations
- Work confidently through Presenting Preliminary Research Findings and its practical applications
- Analyse real-world scenarios involving Handling Critical Academic Feedback
- Develop applied skills in Iterative Research Refinement
- Critically evaluate approaches to Seminar Presentation Skills for Doctoral Researchers
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.
6 Chapters
•18 Lecture
•0s
1. Introduction to Computer Systems & Algorithmic Thinking - Concept Explanation & Foundations
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...
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2. Introduction to Computer Systems & Algorithmic Thinking - Worked Examples & Case Analysis
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...
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3. Introduction to Computer Systems & Algorithmic Thinking - Practice Questions & Exercises
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...
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Academic Ecosystem & Connected Pathways
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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
Reviews
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Free$44.99100% Off
Certificate available separately for $50 after completionCourse Includes
6 Chapters
18 Lectures
1 week
Skill Level advanced
Taught in English
Lifetime Access
Certification of Completion
Category: University - Computer Science
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