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Discrete Math | Learn Discrete Mathematics by easy methods

Discrete Maths for Computer Science , Data science and Engineering Students

  1. Topics
  2. Teaching & Academics
  3. Discrete Mathematics

Discrete Math | Learn Discrete Mathematics by easy methods

InstructorSandeep Kumar Mathur
Duration8h 6m
Students728
Rating4.6 (36)

Coupon history

Comidoc has tracked 2 coupons for this course since 2026, last checked 1 month, 4 days ago.

Coupon codeDiscountAddedStatusLifetime
A9C455FEBDB2E0D477A113% offSep 27, 202605:06 PM UTCExpired7d 14h
7BECCBC0FF4A7BA4A8CC13% offAug 3, 202608:50 AM UTCExpired30d 4h
Sponsored
Price
$14.99
Coupon
None
No active coupon currently available
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Open on UdemyCurrent Udemy price
Comidoc Analysis

Mathematical foundations through illustrative lectures and quizzes

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Strengths

Concept-focused illustrations

The curriculum uses dedicated illustration segments to demonstrate mathematical concepts within each major topic.

Clear instructional delivery

Learner signals highlight effective teaching tempo, high-quality board work, and clear explanations of theory.

Limitations

Limited practice variety

Quizzes are provided for each section, but some feedback suggests a need for more diverse question types or quantities.

Best suited to

  • Computer science students
  • Engineering students
  • Mathematics students

Less suited to

  • Learners seeking extensive problem sets
  • Advanced mathematics students

Comidoc Score

6.4/10

Worth considering
Beginner-friendly

Comidoc verdict

The learning path begins with fundamental building blocks including set theory, relations, and functions, eventually progressing to the principle of mathematical induction. Instruction relies on a structured approach where specific illustrations are used to clarify theoretical concepts before concluding sections with topical quizzes.

The teaching style is noted for its clarity and effective use of board work, making it accessible for those starting their studies in computer science or engineering. However, the reliance on these illustrative segments means that learners may find the volume of practice questions insufficient for deep mastery.

This course is best suited for students seeking a clear introduction to discrete mathematical structures who can supplement their learning with external problem sets.

Score breakdown

Curriculum depth
6.5

The curriculum covers essential topics like induction and combinatorics through specific modules.

Applied learning
6.5

Learning is reinforced through topic-specific quizzes and illustrative exercises.

Clarity & experience
6.5

Learner signals consistently point to clear explanations and good teaching tempo.

Currency & reliability
5.0

The available evidence does not establish enough about current reliability to move this dimension away from neutral.

Audience fit
6.5

The curriculum aligns with the stated goals for computer science and engineering students.

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  • Engineering Mathematics90
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  • Mathematical Logic96
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  • Computer Science Foundations15
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  • Mathematical Relations9
  • Mathematical Reasoning34
  • Abstract Algebra18