Mathematics for Computer Science Course
Master core mathematics for computer science as you design search filters, model keyword probabilities, and analyze citation graphs. Turn logic, combinatorics, sets, and graph theory into tools for building and evaluating real-world search systems.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This concise, high-impact course builds the core tools you need to design and analyze modern search and citation systems. You will work with logic for precise filters, sets and functions for document models, combinatorics and probability for keyword behavior, and graph algorithms for citation networks, then connect everything through complexity analysis, ranking strategies, and clear technical documentation.
Elevify advantages
Develop skills
- Boolean logic for search: design, simplify, and optimize keyword filters fast.
- Combinatorics for text: model keyword counts and realistic probability estimates.
- Graph theory for citations: run DFS, BFS, SCCs to analyze citation networks.
- Sets and functions for documents: model collections and mappings with precision.
- Search engine math: link logic, graphs, and probability to ranking and filters.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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