CS 502 Data Structures and Algorithms / CS 520 Computer Science Foundations - Syllabus

Term and Credits

Winter 2020-2021
3 Credits

Room and Time

Videos and readings will be posted to learn.drexel.edu

Instructor

Mark Boady
Electronic Mail Address: mwb33@drexel.edu
Office: 3675 Market Street Room 1058 (Next to Snack Machine)
Extention: 215-895-2347 [Not Available During COVID]
Office Hours: Tuesday 3-5 in Slack, Wednesday 4-6 in Slack

Teaching Assistant(s)

Lia Fredericks
Electronic Mail Address: laf335@drexel.edu
CLC Website: https://www.cs.drexel.edu/clc
Office: Online in Slack
Office Hours: Friday 6PM-8PM in Slack

Phuc Nguyen
Electronic Mail Address: phn26@drexel.edu
CLC Website: https://www.cs.drexel.edu/clc
Office: Online in Slack
Office Hours: Monday 6PM-8PM in Slack

Julius Park
Electronic Mail Address: jmp536@drexel.edu
CLC Website: https://www.cs.drexel.edu/clc
Office: Online in Slack
Office Hours: Thursday 7PM-9PM in Slack

Course Description

An introduction to classical algorithms with a focus on implementation and applications. Covers both analysis and implementation of algorithms. Algorithms include searching, sorthing, and shortest path. Data Structures and their analysis is also covered. Data Structures include trees and graphs.

Course Objective and Goals

1. Learn to analyze the running time of iterative and recursive algorithms.
2. Learn to analyze the running time of data structures.
3. Gain familiarity with basic data structures and algorithms related to them, such as trees and graphs.
4. Learn various applications of algorithms and data structures.
5. Learn to choose the correct data structure to efficienctly solve problems.
6. Learn the basic theoretical foundations of computation.

Topics

1. Algorithm Fundamentals
2. Recursion
3. Searching and Sorting
4. Fundamentals of Simple Data Structures( lists, trees, graphs)
5. Intro to algorithm analysis and order of growth
6. Intro to algorithms in distributed systems.

Audience and Purpose within Plan of Study

This course is for graduate students with little prior knowledge of data structures and algorithms. It serves to give such students a firm foundation for future graduate study, and it is a requirement of the Computer Science Minor and Computer Science Post Bachelor Certificate degree programs.

Prerequisites
CS570 or CS501 is a required co/prerequisites.

What Students Should Know Prior to this Course

1. Basic Computer Usage Skills.
2. Some experience with programming is strongly recommended.
3. The following concepts from mathematics will be important in class. You can review the below links for more information.
   1. Summation Notation
   2. Exponents
   3. Logarithms
   4. Polynomial Expressions
   5. Recursive Formulas

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

1. Students will be able to analyze algorithms.
2. Students will understand a set of fundamental algorithms and how to apply them.
3. Students will understant fundemental data structures and when to use each.
4. Students will be able to explain why algorithms are efficient and correct solutions to problems.
5. Students will be able to determine the applications and limits of data structures and algorithms.
6. Students will understand how complex computation is built from simple components.

Textbook

Algorithms (The MIT Press Essential Knowledge series)
Author: Panos Louridas
Published: August 18, 2020
ISBN-10: 0262539020
ISBN-13: 978-0262539029
Buy from Amazon

Algorithms Unlocked
Author: Thomas H. Cormen
Published: March 1, 2013
ISBN-10: 0262518805
ISBN-13: 978-0262518802
Read Free from Drexel Library
Buy from Amazon

Optional Supplement

The Algorithm Design Manual (Second Edition)
Author: Steven S. Skiena
Published: April 27, 2011
ISBN-13: 978-1848000698
ISBN-10: 1848000693
See it on Amazon

Course Material

Lectures/Readings

• Recorded videos will be posted for each lecture in learning.drexel.edu
• Extended Lecture notes will be provided in conjunction with some lectures.

Homeworks

• Homeworks will contain both written and programming questions.
• Homeworks will be submitted using learn.drexel.edu
• Homeworks are due on Wednesdays at 11:59PM
• Homeworks are to be completed individually.

Blogs

• Each week with have a reading and blog reflection.
• Blogs are due on Mondays at 11:59PM.
• You must comment on two other student's blogs by Friday at 11:59PM

Research Papers

• Students will complete two research papers.
• Midterm RP: Due at end of week 5.
• Final RP: Due at end of Finals Week.
• Research Papers are to be completed individually.

Slack Channel

• This term, we will be using a Slack channel instead of a discussion board.
• You must sign up using a Drexel Email Address.
• https://join.slack.com/t/cs502520winter2021/signup

Late Submissions

• Each student has two "late passes".
• A student may exchange one of their late passes for an one day extention on any assignment.
• Contact the TA/Professor to request one of your late passes be used.
• You may use both late passes of the same assignment to get a 2 day extention.
• Without late passes, -10% per day for up to 4 days.

Special Circumstances

• If you have a documented reason why you cannot submit an assignment by the deadline, a special exception may be made. The Professor may also wave the late submission penalty for documented special exceptions.

Course Policies

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

Grading and Policies

• 10 Homeworks 50%
• 10 Blog Posts 10%
• 20 Blog Comments 4%
• Research Paper 1 18%
• Research Paper 2 18%

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

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 Honesty: http://www.drexel.edu/provost/policies/academic_dishonesty.asp
• Judicial Affairs Academic Integrity: http://drexel.edu/studentlife/community_standards/facultystaff/integrity/
• Official Final Exam Schedule: http://www.drexel.edu/registrar/scheduling/exams/
• Students with Disability Statement: http://drexel.edu/oed/disabilityResources/overview/
• Course Drop Policy: http://www.drexel.edu/provost/policies/course_drop.asp
• Drexel Student Learning Priorities: http://www.drexel.edu/provost/irae/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.

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/cpo/policies/cpo-1/ 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/grade-appeals/

Tentative Course Schedule

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

Additional Resource Links

1. Binary Numbers
   • https://www.mathsisfun.com/binary-number-system.html
   • https://www.tutorialspoint.com/computer_logical_organization/binary_arithmetic.htm
   • https://www.cs.cornell.edu/~tomf/notes/cps104/twoscomp.html
   • https://www3.ntu.edu.sg/home/ehchua/programming/java/datarepresentation.html
2. Hex Numbers
   • https://www.mathsisfun.com/hexadecimals.html
   • https://www.tutorialspoint.com/computer_logical_organization/hexadecimal_arithmetic.htm
   • https://computer.howstuffworks.com/computer-memory.htm
3. Assembly
   • https://schweigi.github.io/assembler-simulator/
   • https://schweigi.github.io/assembler-simulator/instruction-set.html
4. Algorithms
   • https://publik.tuwien.ac.at/files/PubDat_140308.pdf
   • https://www.geeksforgeeks.org/how-to-write-a-pseudo-code/
5. Recursion
   • https://inventwithpython.com/blog/2011/08/11/recursion-explained-with-the-flood-fill-algorithm-and-zombies-and-cats/
   • https://medium.com/@cscalfani/so-you-want-to-be-a-functional-programmer-part-1-1f15e387e536
   • https://www.geeksforgeeks.org/recursion/
   • https://en.wikipedia.org/wiki/Tower_of_Hanoi
6. Analysis
   • https://en.wikipedia.org/wiki/Big_O_notation
   • http://discrete.gr/complexity/
   • https://www.khanacademy.org/computing/computer-science/algorithms/asymptotic-notation/a/asymptotic-notation
7. Searching
   • https://en.wikipedia.org/wiki/Linear_search
   • https://en.wikipedia.org/wiki/Binary_search_algorithm
8. Sorting
   • https://en.wikipedia.org/wiki/Merge_sort
   • https://en.wikipedia.org/wiki/Quicksort
   • https://en.wikipedia.org/wiki/Insertion_sort
9. Sets
   • https://tutorialedge.net/compsci/data-structures/sets-for-beginners/
   • https://opendsa-server.cs.vt.edu/ODSA/Books/Everything/html/SetSearch.html
10. Trees
    • https://en.wikipedia.org/wiki/Binary_search_tree
    • http://www.geeksforgeeks.org/greedy-algorithms-set-3-huffman-coding/
    • https://en.wikipedia.org/wiki/Binary_heap
11. Graphs
    • http://www.geeksforgeeks.org/graph-and-its-representations/
    • http://www.geeksforgeeks.org/depth-first-traversal-for-a-graph/
    • http://www.redblobgames.com/pathfinding/a-star/introduction.html
    • https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm
12. DFA
    • Chapter 2: http://cglab.ca/~michiel/TheoryOfComputation/