Basics
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Posts
Combinatorics
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Dynamic Programming 1
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Dynamic Programming 2
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Final Review
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Flows
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Game Theory
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Geometry
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Graphs
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Midterm Review
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Number Theory
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Range Queries 1
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Range Queries 2
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Strings
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Syllabus
Instructor
Zilin Jiang
Email: [email protected]
Office: Wexler A839
Meeting Information
Location: BYAC 110
Time: 10:30AM–11:45AM
Onboarding
Please complete the onboarding form: https://forms.gle/zw4JAcuLqAEKofV37
Discord Server
[Discord server link to be provided through private communication]
Weekly Competition
Weekly 2-hour in-person contests will be held. Location and time to be announced soon.
- 2 points per problem solved during the contest
- 1 point per problem solved within one week after the contest
Codeforces Competition
Students can earn credit by participating in Codeforces rated contests:
- 2 points per problem solved in Division 1 and Division 2 contests
- Division 2 Problem A is excluded from credit
- Each student must register exactly one Codeforces handle with the instructor
- Only submissions from the registered handle will count toward course credit
Grade Cutoffs
Final grades are based on total points earned:
- A: ≥ 50 points
- B: ≥ 30 points
- C: ≥ 20 points
- D: ≥ 10 points
- F: < 10 points
Policy on the Use of GenAI
During Weekly Contests
NO Gen-AI tools are allowed during weekly in-class contests:
- No code completion tools (including Copilot)
- No ChatGPT or similar AI assistants
- No AI-based translation tools
This policy matches ICPC competition rules and ensures fair evaluation. Violations will result in grade penalties and possible academic integrity violation reports.
Practice and Learning (Outside Contest Time)
Gen-AI tools may be used freely for:
- Learning and understanding algorithms
- Practicing problem-solving
- Analyzing different solution approaches
Requirements:
- Must document AI assistance in submissions
- Required to understand all code you submit
- Code similarity detection will be used to identify potential violations
Auditing
To ensure fairness and academic integrity, the instructor may conduct solution audits. An audit is a short, informal verification where a student is asked to explain one or more of their submitted solutions, including:
- The core idea of the algorithm
- Why it is correct
- Its time and space complexity
Audits may be conducted at the instructor’s discretion, including:
- Random selection
- Selection based on unusual submission patterns
- Selection of students who primarily earn credit outside in-person contests
Students who regularly participate in weekly in-person contests are less likely to be audited. Failure to satisfactorily explain one’s own submitted solution may be treated as evidence of academic misconduct.
By enrolling in this course, students agree to participate in such audits if requested.
Trees
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