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B.Sc. DegreeFaculty of Faculty of Social Sciences & MediaEconomics
Introduction to Computers (Economics)
Master Introduction to Computers (Economics) in University - Economics with this structured course, covering 8 modules and practice assessments.
Course Overview
Master Introduction to Computers (Economics) in University - Economics 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 Computer Hardware Basics (Economics)
- Work confidently through Operating Systems Overview (Economics) and its practical applications
- Analyse real-world scenarios involving Spreadsheets for Economic Data
- Develop applied skills in Word Processing for Reports
- Critically evaluate approaches to Data Visualisation Basics
Requirements
- No prior University - Economics knowledge required — this course starts from the fundamentals
- 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 B.Sc. Economics 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.
8 Chapters
•24 Lecture
•0s
1. Computer Systems Architecture & The Von Neumann Machine Paradigm
NUC CCMAS Benchmark: CMP 101 | 100L Computer Science Computer Systems Architecture & The Von Neumann Machine Paradigm Hardware-Software Hierarchy, Instruction Cycles, Bus Architectures, and Memory Hierarchies in Applied Computing 1. Theoretical Foundation & Conceptual Architecture The foundation of modern computational science and electronic data processing is anchored in the **Von Neumann Archite...
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2. Algorithmic Thinking, Computational Problem Solving & Pseudocode Design
NUC CCMAS Benchmark: CMP 101 | 100L Computer Science Algorithmic Thinking, Computational Problem Solving & Pseudocode Design Formal Definition of an Algorithm, Structured Flowcharts, Stepwise Refinement, and Correctness Invariants 1. Theoretical Foundation & Conceptual Architecture The conceptual essence of computer science resides not in electronic circuitry or programming syntax, but in the form...
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3. Binary Data Representation: Integers, Floating-Point IEEE 754 & Character Encodings
NUC CCMAS Benchmark: CMP 101 | 100L Computer Science Binary Data Representation: Integers, Floating-Point IEEE 754 & Character Encodings Two's Complement Arithmetic, Fixed-Point Scaling, IEEE 754 Standard, and Modern Text Encoding in Economic Systems 1. Theoretical Foundation & Conceptual Architecture All information processed by electronic computers—whether numerical economic time series, compile...
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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
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Free$12.99100% Off
Certificate available separately for $50 after completionCourse Includes
8 Chapters
24 Lectures
1 week
Skill Level beginner
Taught in English
Lifetime Access
Certification of Completion
Category: University - Economics
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