# Discrete Mathematics Review (2026): 8.3/10 · Coursera · Paid > Independent review of Discrete Mathematics Course on Coursera. Rated 8.3/10 by our editorial team. Pros, cons, price, and top alternatives. Certificate avail… Computer Science Courses Discrete Mathematics Course ![Discrete Mathematics Course](/api/media/file/hero/discrete-mathematics-course.webp?v=2?width=800) # Discrete Mathematics Course — Review (8.3/10) This Discrete Mathematics course from Shanghai Jiao Tong University provides a rigorous introduction to core mathematical concepts used in computer science. It emphasizes proof techniques, logical rea... Explore This Course 🎟️ Coursera Discount Offer Explore This Course Discrete Mathematics Course is a 12 weeks online intermediate-level course on Coursera by Shanghai Jiao Tong University that covers computer science. This Discrete Mathematics course from Shanghai Jiao Tong University provides a rigorous introduction to core mathematical concepts used in computer science. It emphasizes proof techniques, logical reasoning, and structures like graphs and sets. While well-structured, it demands consistent effort due to its abstract nature. Ideal for learners aiming to strengthen theoretical foundations. We rate it 8.3/10. ## Prerequisites Basic familiarity with computer science fundamentals is recommended. An introductory course or some practical experience will help you get the most value. ## Pros - Comprehensive coverage of essential discrete math topics - Strong focus on developing proof-writing and logical reasoning skills - Well-structured modules with progressive difficulty - Highly relevant for computer science and IT career paths ## Cons - Limited interactivity in lecture format - Some learners may find the pace fast without prior math exposure - Fewer programming applications compared to applied courses ## Discrete Mathematics Course Review Platform: Coursera Instructor: Shanghai Jiao Tong University Updated Apr 25, 2026·Editorial Standards·How We Rate ## What will you learn in Discrete Mathematics course - Understand fundamental discrete structures such as sets, relations, and functions used across computer science. - Develop the ability to read, interpret, and construct rigorous mathematical proofs. - Master logic and Boolean algebra to support algorithmic and computational reasoning. - Explore graph theory and its applications in networks, data structures, and algorithms. - Apply discrete probability to analyze randomized algorithms and computing models. ### Program Overview ### Module 1: Logic and Proofs 3 weeks - Propositional and predicate logic - Truth tables and logical equivalence - Direct, contrapositive, and contradiction proof techniques ### Module 2: Sets, Functions, and Relations 3 weeks - Set theory and operations - Functions: injectivity, surjectivity, bijectivity - Equivalence relations and partial orders ### Module 3: Graph Theory 3 weeks - Graph types: directed, undirected, weighted - Paths, connectivity, and graph representations - Applications in networks and algorithms ### Module 4: Counting and Discrete Probability 3 weeks - Combinatorics and counting principles - Permutations and combinations - Basic probability in discrete settings ### Get certificate #### Job Outlook - Essential for careers in software engineering, data science, and algorithm design. - Strong foundation for graduate studies in computer science and related fields. - Highly valued in roles requiring formal reasoning and problem-solving skills. ## Editorial Take Discrete Mathematics is a cornerstone of computer science education, and this course from Shanghai Jiao Tong University delivers a solid, structured introduction. It's ideal for learners aiming to deepen their theoretical understanding and build the kind of rigorous thinking required in advanced computing disciplines. ### Standout Strengths - Mathematical Rigor: The course instills a high level of mathematical maturity, enabling learners to parse and construct formal proofs with confidence. This skill is invaluable in algorithm design and theoretical computer science. - Foundational Coverage: Topics like sets, functions, and relations are thoroughly explained, forming a bedrock for further study in databases, programming languages, and automata theory. The breadth is well-balanced. - Graph Theory Focus: Graphs are central to modern computing—from social networks to routing algorithms. This course provides a clear, accessible entry point into graph properties and applications. - Logical Reasoning: The emphasis on propositional and predicate logic strengthens analytical thinking. These skills directly support writing correct, verifiable code and understanding program correctness. - Academic Structure: With a clear progression from logic to discrete probability, the course mirrors university-level curricula. It's excellent preparation for degree programs or self-taught learners aiming for depth. - Global Perspective: Offered by a leading Chinese technical university, the course brings an international academic standard to a global audience, enhancing its credibility and rigor. ### Honest Limitations - Limited Interactivity: The lecture format is mostly expository with minimal interactive elements. Learners seeking gamified or hands-on coding integration may find it too abstract and passive. - Pacing Challenges: Some sections move quickly, especially for those without prior exposure to formal math. The jump from basic logic to complex proofs can be steep without supplemental practice. - Few Real-World Coding Links: While theoretically strong, the course rarely connects concepts to programming implementations. Learners expecting Python or algorithm coding may need supplementary resources. - Proof-Centric Focus: Heavy emphasis on writing proofs may deter learners focused on practical software development. Those seeking applied math skills may prefer more computational alternatives. ### How to Get the Most Out of It - Study cadence: Dedicate 4–6 hours weekly with spaced repetition. Focus on understanding definitions before attempting proofs to build long-term retention and clarity. - Parallel project: Apply graph theory to model real-world networks like social media or transportation systems. This reinforces abstract concepts with tangible examples. - Note-taking: Use structured proof templates and concept maps to track logical dependencies. Rewriting proofs in your own words enhances comprehension. - Community: Join course forums or study groups to discuss proof strategies. Peer feedback is crucial for improving rigor and spotting logical gaps. - Practice: Solve additional problems from textbooks like Rosen’s Discrete Mathematics. Repetition builds fluency in symbolic reasoning and combinatorial thinking. - Consistency: Stick to a weekly schedule. Discrete math builds cumulatively—missing one module can hinder understanding in later, more complex topics. ### Supplementary Resources - Book: 'Discrete Mathematics and Its Applications' by Kenneth Rosen offers deeper explanations and hundreds of practice problems aligned with this course’s scope. - Tool: Use LaTeX to typeset your proofs. It improves clarity and mirrors academic standards used in computer science research and publications. - Follow-up: Enroll in algorithms or theory of computation courses to apply discrete math in computational contexts and deepen expertise. - Reference: The course notes and slides should be archived for quick review. They serve as a concise reference for key theorems and proof patterns. ### Common Pitfalls - Pitfall: Skipping practice problems to save time. Mastery in discrete math comes from doing proofs, not just watching lectures. Avoid passive learning. - Pitfall: Misunderstanding quantifiers in predicate logic. Small errors in 'for all' or 'there exists' can invalidate entire arguments. Drill these carefully. - Pitfall: Neglecting foundational definitions. Sets, functions, and relations are reused throughout—weak grasp here undermines later modules like graph theory. ### Time & Money ROI - Time: At 12 weeks and 4–6 hours/week, the time investment is substantial but justified for building long-term problem-solving skills in computing. - Cost-to-value: While paid, the course offers university-level rigor at a fraction of traditional tuition. Worth it for self-taught learners and career switchers. - Certificate: The credential signals analytical ability to employers, especially in tech roles valuing logical reasoning and structured thinking. - Alternative: Free alternatives exist, but few match the structured progression and academic quality of this Coursera offering from a top technical university. ### Editorial Verdict This Discrete Mathematics course stands out as a rigorous, well-organized introduction to the theoretical backbone of computer science. It successfully bridges the gap between high school math and the abstract reasoning required in advanced computing disciplines. The curriculum, designed by Shanghai Jiao Tong University, reflects a strong academic tradition, emphasizing proof-writing, logical structure, and mathematical precision—skills that are often underdeveloped in more applied programming courses. For learners serious about mastering the 'why' behind algorithms and data structures, rather than just the 'how,' this course is a valuable investment. That said, it’s not for everyone. Learners seeking hands-on coding or immediate job-ready skills may find the content too theoretical. The lack of programming integration and limited interactivity could deter those used to project-based learning. However, when paired with active study habits—consistent problem-solving, peer discussion, and supplemental reading—this course delivers exceptional depth. We recommend it for students preparing for graduate studies, aspiring software engineers aiming for top-tier tech roles, or anyone wanting to strengthen their analytical foundation. With realistic expectations and disciplined effort, the return on knowledge is substantial, making it a top-tier choice in the realm of computer science fundamentals. ## How Discrete Mathematics Course Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Discrete Mathematics Course | Coursera | 8.3/10 | Intermediate | 12 weeks | | Harvard: CS50: Introduction to Computer Science Course | EDX | 9.7/10 | N/A | N/A | | HashiCorp Certified: Terraform Associate Practice Exam 2026 Course | Udemy | 9.7/10 | N/A | N/A | | A Complete Guide to Java Programming Course | Educative | 9.7/10 | N/A | N/A | ## Who Should Take Discrete Mathematics Course? This course is best suited for learners with foundational knowledge in computer science and want to deepen their expertise. Working professionals looking to upskill or transition into more specialized roles will find the most value here. The course is offered by Shanghai Jiao Tong University on Coursera, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a course certificate that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers. If you are exploring adjacent fields, you might also consider courses in Agile & Scrum Courses, AI Courses, Arts and Humanities Courses, which complement the skills covered in this course. ### Career Outcomes - Apply computer science skills to real-world projects and job responsibilities - Advance to mid-level roles requiring computer science proficiency - Take on more complex projects with confidence - Add a course certificate credential to your LinkedIn and resume - Continue learning with advanced courses and specializations in the field ## More Computer Science Courses on Coursera Explore other highly rated courses in computer science available on Coursera to expand your learning path: - Microsoft Front-End Developer Professional Certificate Course 9.9/10 - Introduction to Back-End Development Course 9.9/10 - Introduction to Technical Support Course 9.9/10 - IBM iOS and Android Mobile App Developer Professional Certificate Course 9.8/10 - Meta Full-Stack Developer Specialization Course 9.8/10 - Marketing Analytics Foundation Course 9.8/10 - React Basics Course 9.8/10 - Meta Android UI Development Specialization Course 9.8/10 - Operating Systems: Overview, Administration, and Security Course 9.8/10 - Tools for Data Science Course 9.8/10 ## Top Alternatives on Other Platforms Looking for a different teaching style or approach? These top-rated computer science courses from other platforms cover similar ground: - Harvard: CS50: Introduction to Computer Science Course 9.7/10 EDX - HashiCorp Certified: Terraform Associate Practice Exam 2026 Course 9.7/10 Udemy - A Complete Guide to Java Programming Course 9.7/10 Educative - Building a Web Application with JavaScript and IndexedDB Course 9.7/10 Educative - Getting Started with Mobile App Development with React Native Course 9.7/10 Educative - Make Your Own Neural Network in Python Course 9.7/10 Educative - Build 10 Network Applications with Python Course 9.7/10 Udemy - W3Cx: Introduction to Web Accessibility course 9.7/10 EDX - HarvardX: CS50’s Introduction to Computer Science course 9.7/10 EDX - GoogleCloud: Introduction to Image Generation course 9.7/10 EDX ## More Courses from Shanghai Jiao Tong University Shanghai Jiao Tong University offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - Mandarin Chinese 1: Chinese for Beginners Course 9.7/10 - Learn Mandarin Chinese Specialization Course 9.7/10 - Training and Practicing in English Public Speaking 8.5/10 - The Amazing World of the Ethnic Groups of Yunnan Province Course 8.5/10 - Fundamentals of Materials Science Course 8.5/10 - Mandarin Chinese for Intermediate Learners: Part 3 7.8/10 - Learn Mandarin Chinese: Intermediate Course 7.8/10 View all courses from Shanghai Jiao Tong University → ## Related Articles & Guides Deepen your understanding with these articles from our editorial team, covering career advice, industry trends, and learning strategies: - Build AI skills with the Google AI Professional Certificate - Python Tutorial: Best Courses to Learn Python in 2026 - CISSP vs CompTIA Security+: Which Cert Should You Pursue? - Coursera Data Analytics Professional Certificate: Worth It in 2026? - Best edX Courses in 2026: Top Picks by Enrollment and Career Value - Best Online Coursera Courses in 2026: What's Actually Worth Your Time - Udemy Online: What the Platform Actually Delivers in 2026 - OKR for Leaders: 7 Best Training Courses Compared (2026) - Generative AI for Marketing with Microsoft 365 Copilot: Professional Certificate Review - The Best React Courses in 2026, Ranked and Reviewed ## Explore All Course Categories Not sure what to learn next? 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Be the first to share your experience! ## FAQs What are the prerequisites for Discrete Mathematics Course? A basic understanding of Computer Science fundamentals is recommended before enrolling in Discrete Mathematics Course. Learners who have completed an introductory course or have some practical experience will get the most value. The course builds on foundational concepts and introduces more advanced techniques and real-world applications. Does Discrete Mathematics Course offer a certificate upon completion? Yes, upon successful completion you receive a course certificate from Shanghai Jiao Tong University. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Computer Science can help differentiate your application and signal your commitment to professional development. How long does it take to complete Discrete Mathematics Course? The course takes approximately 12 weeks to complete. It is offered as a free to audit course on Coursera, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably. What are the main strengths and limitations of Discrete Mathematics Course? Discrete Mathematics Course is rated 8.3/10 on our platform. Key strengths include: comprehensive coverage of essential discrete math topics; strong focus on developing proof-writing and logical reasoning skills; well-structured modules with progressive difficulty. Some limitations to consider: limited interactivity in lecture format; some learners may find the pace fast without prior math exposure. Overall, it provides a strong learning experience for anyone looking to build skills in Computer Science. How will Discrete Mathematics Course help my career? Completing Discrete Mathematics Course equips you with practical Computer Science skills that employers actively seek. The course is developed by Shanghai Jiao Tong University, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market. Where can I take Discrete Mathematics Course and how do I access it? Discrete Mathematics Course is available on Coursera, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. The course is free to audit, giving you the flexibility to learn at a pace that suits your schedule. All you need is to create an account on Coursera and enroll in the course to get started. How does Discrete Mathematics Course compare to other Computer Science courses? Discrete Mathematics Course is rated 8.3/10 on our platform, placing it among the top-rated computer science courses. Its standout strengths — comprehensive coverage of essential discrete math topics — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding. What language is Discrete Mathematics Course taught in? Discrete Mathematics Course is taught in English. Many online courses on Coursera also offer auto-generated subtitles or community-contributed translations in other languages, making the content accessible to non-native speakers. The course material is designed to be clear and accessible regardless of your language background, with visual aids and practical demonstrations supplementing the spoken instruction. Is Discrete Mathematics Course kept up to date? Online courses on Coursera are periodically updated by their instructors to reflect industry changes and new best practices. Shanghai Jiao Tong University has a track record of maintaining their course content to stay relevant. We recommend checking the "last updated" date on the enrollment page. Our own review was last verified recently, and we re-evaluate courses when significant updates are made to ensure our rating remains accurate. Can I take Discrete Mathematics Course as part of a team or organization? Yes, Coursera offers team and enterprise plans that allow organizations to enroll multiple employees in courses like Discrete Mathematics Course. Team plans often include progress tracking, dedicated support, and volume discounts. This makes it an effective option for corporate training programs, upskilling initiatives, or academic cohorts looking to build computer science capabilities across a group. What will I be able to do after completing Discrete Mathematics Course? After completing Discrete Mathematics Course, you will have practical skills in computer science that you can apply to real projects and job responsibilities. You will be equipped to tackle complex, real-world challenges and lead projects in this domain. 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