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The field of Mathematics is applied to different disciplines such as computer science. Learning an interactive way to discrete mathematics will help you gain expertise in computer science and engineering.

You will gain skills and knowledge in this [course_title] on the fundamental concepts of mathematics such as the definitions, proofs, sets, functions, etc. You will also learn the discrete structures and probability theory to know about graphs, modular arithmetic, etc.


This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.


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Course Credit: MIT


Course Curriculum

Module: 01
1.1.1 Welcome to 6.042 00:02:00
Proof By Contradiction 00:08:00
Well Ordering Principle 1 00:06:00
Propositional Operators 00:09:00
Predicate Logic 1 00:13:00
Sets Definitions 00:12:00
Relations 00:25:00
Module:0 2
Induction 00:22:00
State Machines Invariants 00:26:00
Recursive Data 00:13:00
Cardinality 00:13:00
GCDs & Linear Combinations 00:10:00
Congruence mod n 00:13:00
Modular Exponentiation Euler’s Function 00:06:00
Module:0 3
RSA Public Key Encryption 00:22:00
Digraphs: Walks & Paths 00:04:00
DAGs 00:11:00
Partial Orders 00:11:00
Degrees 00:11:00
Coloring 00:16:00
Trees 00:08:00
Module:0 4
Stable Matching 00:11:00
Arithmetic Sums 00:04:00
Asymptotic Notation 00:08:00
Sum And Product Rules 00:07:00
Generalized Counting Rules 00:10:00
The Pigeonhole Principle 00:04:00
Tree Model 00:25:00
Module: 05
Conditional Probability Definitions 00:15:00
Independence 00:04:00
Bigger Number Game 00:12:00
Expectation 00:19:00
Deviation From The Mean: Video 00:08:00
Law Of Large Numbers 00:14:00
Random Walks 00:11:00
Submit Your Assignment 00:00:00
Certification 00:00:00

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