CS 270 Mathematical Foundations in CS - Syllabus

Term and Credits

Fall 2024-2025
3 Credits

Room and Time

Section	Days	Time	Room	Instructor	Course Assistant
001	MW	1:30pm - 2:50pm	3675 Market Street Room 1052	Steve Earth	Anh Nguyen (M) Omesh Dwivedi (W)
002	MW	3:00pm - 4:20pm	3675 Market Street Room 1052	Steve Earth	Anh Nguyen (M) Zaafir ul Husan (W)
003	MW	4:30pm - 5:50pm	3675 Market Street Room 1052	Mark Boady	Amir Kaidarov (MW)
005	TR	12:00pm - 1:20pm	3675 Market Street Room 1103	Jeremy Johnson	Anh Nguyen (T) Tsion Bekele (R)

Instructors

Professor Mark Boady
Electronic Mail Address: mwb33@drexel.edu
Office: 3675 Market Street Room 1063 (near snack machine)
Office Hours: Monday 11AM-12PM

Professor Jeremy Johnson
Electronic Mail Address: johnsojr@drexel.edu
Office: 3675 Market Street Room TBD
Office Hours: TBD

Professor Steve Earth
Electronic Mail Address: se435@drexel.edu
Office: 3675 Market Street Room 1169
Office Hours: TBD

Teaching Assistant(s)

All TA Office Hours are held in the CLC https://www.cs.drexel.edu/clc

Course Description

Introduces formal logic and its connections to Computer Science. Students learn to translate statements about the behavior of computer programs into logical claims and to prove such assertions using both traditional techniques and automated tools. Considers approaches to proving termination, correctness, and safety for programs. Discusses propositional and predicate logic, logical inference, recursion and recursively defined sets, mathematical induction, and structural induction.

Course Objective and Goals

1. To use recursion and divide and conquer to solve problems
2. To provide recursive definitions of patterns and data structures
3. To formally specify the input/output requirements of programs
4. To use induction and other proof techniques to prove properties of algorithms, data structures, programs, and computer systems
5. To use logic to describe the state of systems and to use logical deduction (by hand and using tools) to prove properties of systems
6. To understand the power and limitations of formal logic.

Topics

1. Functional Programming
2. Recursion, Recursive Definitions and Induction
3. Propositional and Predicate Logic
4. Formal Proof using Natural Deduction
5. Applications of Logic to Computer Science
6. Divide and Conquer Algorithms and Recurrence Relations
7. Program Specification and Verification
8. Automated Reasoning
9. Termination Analysis
10. Test Case and Counter Example Generation

Audience and Purpose within Plan of Study

This is a required course for all Computer Science and Software Engineering students. It should also be of interest to Computer Engineering, Mathematics students and students with an interest in logic and computation.

Prerequisites

CS 172 Minimum Grade: D or CS 176 Minimum Grade: D or CS 265 Minimum Grade: D or SE 103 Minimum Grade: D or ECEC 301 Minimum Grade: D or ECEC 201 Minimum Grade: D

What Students Should Know Prior to this Course

1. Ability to read and understand code.
2. Basic understanding of program execution.
3. Ability to write simple recursive programs.

What Students will be able to do upon Successfully Completing this Course:

1. Use Proofs by Deduction to Justify Logical Statements
2. Be able to write and analyze Recursive Functions
3. Be able to implement and use a SAT solver.
4. Use Inductive Proofs to Justify the correctness of programs and statements.
5. Use logic to describe the state of systems.

Textbook

We will use free resources for this class.

Book of Proof (Second Edition)
Richard Hammack
Paperback: ISBN 978-0-9894721-0-4
Hardcover: ISBN 978-0-9894721-1-1
Available for Free online at: http://www.people.vcu.edu/~rhammack/BookOfProof/

The Racket Guide
Matthew Flatt, Robert Bruce Findler and PLT
https://docs.racket-lang.org/guide/index.html

Forall x: Calgary
P.D. Magnus and Tim Button
http://forallx.openlogicproject.org

If you want to learn more about functional programming.
The Little Schemer - 4th Edition
Daniel P. Friedman and Matthias Felleisen
ISBN-13: 978-0262560993
ISBN-10: 0262560992
Available at: Amazon

If you want to learn more about logic and proofs.
Connecting Discrete Mathematics and Computer Science - 2nd Edition
David Liben-Nowell
ISBN-13: 978-1009150491
Available at: Amazon

Grading and Policies

• Homeworks: 30%
• Labs: 20%
• Midterm Exam: 25%
• Final Exam: 25%

Final grades will be determined by your total points weighted according to this distribution. Grades may be curved but are generally computed via the formula below. It may be modified at the instructor's sole discretion, but letter grades will generally not be lower than those shown here.

• [100-97] A+
• (97-93] A
• (93-90] A-
• (90-87] B+
• (87-83] B
• (83-80] B-
• [80-77] C+
• (77-73] C
• (73-70] C-
• (70-67] D+
• (67-60] D
• (60-0] F

Late Policy

• Midterm/Final Exam
  • Requires approval from the Professor to take late.
• Labs
  • Requires approval from the Professor to complete late.
• Homeworks
  • Penalties:
    • -10% 1 day late
    • -20% 2 days late
    • -30% 3 days late
    • -40% 4 days late
    • Not Accepted after 4 days
• Late Passes: Each student has two (2) late passes. You may exchange a late pass for 1 extra day on a homework for any reason. You will receive one extra day with no penalty. You must message a Professor or TA before the deadline for the assignment you are using the late pass on. You may use both late passes on the same assignment to get 2 extra days.
• Special Exceptions: In exceptional circumstances, the Professor may wave additional penalties or accept work past the cut-off. Please message the Professor directly to request a special exception.

Corrections Policy

A minimum grade of C in CS270 is required for many students. To help reduce grade anxiety, disincentivize cheating, and promote better content comprehension, we are implementing the following corrections policy. Within two weeks of receiving any assessment[*] with a score below 75%, students will have the opportunity to earn back points, up to a maximum score of 75%. To do so, they must schedule an in-person appointment with a TA or Instructor, specifying the problem(s) they wish to correct. The student must explain the misunderstanding in their original answer and then provide a corrected response. Afterward, they may be asked to answer a similar question posed by the TA/Instructor on the same concept. If answered correctly, the student will earn back all points missed on the original question (with the overall score for the assignment still capped at 75%). If the TA/Instructor determines that the student still does not fully understand the topic, they may try again on another day, provided the two-week window has not closed.

[*] This policy does not apply to scores below 75% due to lateness or other assessed penalties. It does not apply to the final exam.

Academic Honesty Policy

The CCI Academic Honesty policy is in effect for this course. Please see the policy at http://drexel.edu/cci/resources/current-students/undergraduate/policies/cs-academic-integrity/.

Academic Honesty Violations will be reported to the University. Punishment will be determined by the severity of the incident. Punishments include, but are not limited to,

• Failing grade for class
• Deduction of one letter grade
• Zero on Assignment/Exam Violation took place on

Course Material

Programming Language

• This class will use the Racket Programming Language.
• This class will use the DrRacket IDE for developement.
• You may use Racket from the command line instead of the IDE.
• Download Racket

Lectures

• Each class will start with a lecture.
• Most classes will have a short lab following the lecture.

Labs

• You may work in groups of up to 2 students on labs.
• Labs are intended to help you learn the material.
• Collaboration with other students during labs is encouraged.
• You will be provided with a lab sheet at the start of the lab period.
• Lab sheets must be turned in at the end of class time.
• If you miss a class, contact your Professor to make up the lab.

Homeworks

• Most Weeks will have a homework assignment.
• See Schedule for Due Dates
• All homeworks are submitted to Gradescope

Exams

• There will be two Exams.
• Both will be in held in class.
• Midterm: Week 6
• Final: Finals Week

Extra Credit

• In this course, we value the course survey results. It is important for you to receive grades so you can determine how you are performing in class. We also want to know how we are doing. The course survey is our most important tool for determining how the students feel about the class. We also understand that completing the survey takes time and effort. Due to the importance of the course survey, extra credit will be provided to those students who complete it and provide evidence it has been completed. The extra credit will be 1 point added to the final grade for the class. This will take place at the end of the term.

General Information

University Policies
In addition to the course policies listed on this syllabus, course assignments or course website, the following University policies are in effect:

• Computer/Software Help provided by iCommons: https://drexel.edu/cci/current-students/icommons/
• Academic Integrity: https://drexel.edu/studentlife/community-standards/code-of-conduct/academic-integrity-policy
• Academic Integrity Pertaining to Artificial Intelligence: https://drexel.edu/provost/policies-calendars/policies/academic_integrity_artificial_intelligence/
• Academic Integrity Conduct Process: https://drexel.edu/studentlife/community-standards/code-of-conduct/academic-integrity-policy/conduct-process
• Official Final Exam Schedule: http://www.drexel.edu/registrar/scheduling/exams/
• Students with Disability Statement: https://drexel.edu/disability-resources/support-accommodations/student-family-resources
• Course Drop Policy: https://drexel.edu/provost/policies-calendars/policies/course-add-drop/
• Drexel Student Learning Priorities: https://drexel.edu/institutionalresearch/assessment/outcomes/dslp/
• The instructor may, at his/her/their discretion, change any part of the course during the term, including assignments, grade brakdowns, due-dates, and the schedule. Such changes will be communicated to students via the course web site Announcements page. This page should be checked regularly and frequently for such changes and announcements. Other announcements, although rare, may include class cancellations and other urgent announcements.

CCI's Commitment to Diversity, Equity, and Inclusion (DEI)

The College of Computing & Informatics commits to creating a positive and safe learning environment for everyone - instructors, professional staff, and students - both inside and outside of the classroom. We embrace the diversity of thoughts, perspectives, and experiences that each community member brings, and we honor everyone's identity (including, but not limited to, race, ethnicity, age, gender, socioeconomic status, sexuality, religion, veteran status, and disability). We encourage each community member to share information regarding pronouns, religious and cultural holidays, accommodations, and any other information that will assist instructors in fostering a supportive and inclusive community environment. For more information about CCI's commitment to DEI, visit Diversity, Equity & Inclusion Council | Drexel CCI.

Appropriate Use of Course Materials

It is important to recognize that some or all of the course materials provided to you are the intellectual property of Drexel University, the course instructor, or others. Use of this intellectual property is governed by Drexel University policies, including the IT-1 policy found at: https://drexel.edu/it/about/policies/policies/01-Acceptable-Use/
Briefly, this policy states that all course materials including recordings provided by the given prior written approval by the University. Doing so may be considered a breach of this policy and will be investigated and addressed as possible academic dishonesty, among other potential violations. Improper use of such materials may also constitute a violation of the University's Code of Conduct found at: https://drexel.edu/studentlife/community-standards/code-of-conduct and will be investigated as such.

Recording of Class Activities:

In general, students and others should not record course interactions and course activities in lecture, lab, studio or recitation.
Students who have an approved accommodation from the Office of Disability Resources to record online lectures and discussions for note taking purposes should inform their course instructor(s) of their approved accommodation in advance. The recording of lectures and discussions may only be carried out by the students enrolled in the class who have an approved accommodation from Disability Resources with their instructors' prior knowledge and consent. Students with approved accommodations may be asked to turn off their recorder if confidential or personal information is presented.
If a student has any comments, concerns, or questions about provided class materials and/ or recording, talk to your course instructor first. If this does not resolve the issue, you can also reach out to the Department Head, and use the process described for a grade appeal to move your concern forward. The process described for grade appeals can be found at: https://drexel.edu/provost/policies-calendars/policies/grade-appeals/

Tentative Course Schedule

Please see the appropriate assignment webpages for a detailed description of course deliverables.