Computer Vision Course Outline I. Introduction to Computer Vision Overview Definition and scope of computer vision Historical perspective and evolution Applications in various domains (automotive, healthcare, robotics) Image Formation and Representation Digital image fundamentals (pixels, resolution) Color models (RGB, HSV, grayscale) Image sensors and camera models II. Image Processing Basics Image Enhancement Image filtering techniques…

Computer Graphics Course Outline I. Introduction to Computer Graphics Overview Definition and scope of computer graphics Historical perspective and evolution Applications in various fields (entertainment, simulation, design) Graphics Systems Hardware components (GPU, display devices) Software components (graphics APIs, rendering pipelines) Interaction between hardware and software layers II. 2D Graphics Basic Concepts Cartesian coordinate systems and…

Data Mining Course Outline I. Introduction to Data Mining Overview Definition and objectives of data mining Importance and applications in various domains Evolution and current trends in data mining Data Mining Process Steps in the data mining process (CRISP-DM framework) Data collection, preprocessing, modeling, evaluation, and deployment Ethical considerations and privacy issues in data mining…

Numerical Methods Course Outline I. Introduction to Numerical Methods Overview Definition and importance of numerical methods Historical development and applications in engineering, science, and computational mathematics Comparison with analytical methods and limitations Error Analysis Sources of error in numerical computation (round-off error, truncation error) Floating-point arithmetic and machine epsilon Numerical stability and conditioning of problems…

Probability and Statistics Course Outline I. Introduction to Probability Foundations of Probability Definition of probability and basic principles Sample spaces, events, and probability axioms Conditional probability and independence Counting Techniques Counting principles (multiplication rule, permutations, combinations) Applications in probability calculations Binomial theorem and multinomial coefficients II. Random Variables and Probability Distributions Random Variables Definition of…

Linear Algebra Course Outline I. Introduction to Linear Algebra Overview of Linear Algebra Definition and scope of linear algebra Importance and applications in mathematics, physics, engineering, and computer science Contrasting with other branches of mathematics Mathematical Preliminaries Review of basic algebraic concepts (vectors, matrices, operations) Cartesian coordinates and vector spaces Understanding mathematical notation and terminology…

Discrete Mathematics Course Outline I. Introduction to Discrete Mathematics Overview of Discrete Mathematics Definition and scope of discrete mathematics Importance and applications in computer science and mathematics Contrasting with continuous mathematics Logical Reasoning Propositional logic and predicate logic Logical connectives and truth tables Logical equivalences and laws of logic II. Set Theory Sets and Operations…

Calculus I and II Course Outline I. Introduction to Calculus Foundations of Calculus Historical development and significance of calculus Fundamental concepts: limits, derivatives, integrals Applications of calculus in various fields Mathematical Preliminaries Review of algebra and trigonometry concepts Properties of functions and their graphs Understanding mathematical notation and terminology II. Calculus I: Differential Calculus A….

Capstone Project / Senior Design Project Course Outline I. Introduction to Capstone Projects Overview of Capstone Projects Definition and objectives of a capstone project Importance in undergraduate or graduate education Differences between capstone projects and regular coursework Project Planning and Proposal Identifying project scope and objectives Developing a project proposal Forming project teams and roles…

Distributed Systems Course Outline I. Introduction to Distributed Systems Overview of Distributed Systems Definition and characteristics of distributed systems Challenges and benefits of distributed computing Evolution and trends in distributed systems Distributed Systems Architecture Client-server architecture vs. peer-to-peer architecture Middleware and communication protocols (RPC, REST, messaging) Scalability, reliability, and fault tolerance Distributed System Models Architectural…