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ProfessorTeaching AssistantTeaching AssistantTeaching AssistantTeaching AssistantTeaching Assistant
Andrew B. Kahng
abk@cs.ucsd.edu
858-822-4884

office hours (ebu3b 2134):
Wednesday 12:30 pm - 1:30 pm
Friday 1 pm - 2 pm
And also, by appointment
Bekhzod Soliev
bsoliev@eng.ucsd.edu


Office Hours (ebu3b B270A):
Thursday 3 pm - 5 pm
Jahnavi Singhal
jsinghal@eng.ucsd.edu


Office Hours (ebu3b B270A):
Tuesday 4 pm - 6 pm
Wednesday 11 am - 12 pm
Kiran Kannar
kkannar@eng.ucsd.edu


Office Hours (ebu3b B260A):
Friday 2 pm - 4 pm
Tejas Saxena
tsaxena@eng.ucsd.edu


Office Hours (ebu3b B270A):
Monday 9 am - 11 am
Tuesday 9 am - 11 am
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prafulla@eng.ucsd.edu


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Reader-TutorReader-TutorReader-TutorReader-TutorReader-Tutor
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Office Hours (ebu3b B270A):
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Office Hours (ebu3b B275):
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Zihao Zhou
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Office Hours (ebu3b B270A):
Thursday 9 am - 11 am

-->
DateTopicReadingSlides & Handouts
Jan. 91 Analyzing algorithmsChapter 0Lecture 1
Tablet
Notes
Discussion Slides
Jan. 112 Undirected and directed DFS; DAGsChapter 3.1 3.2 3.3Lecture 2
Tablet
Notes
Jan. 12Homework 1 review session (5 pm - 5:50 pm, WLH 2001)Slides
Jan. 163 Strongly connected componentsChapter 3.4Lecture 3
Tablet
Notes
Discussion Slides
Jan. 184 Divide-and-conquer algorithmsChapter 2 (omit 2.6)Lecture 4
Tablet
Notes
Jan. 19Programming assignment 1 review session (5 pm - 5:50 pm, WLH 2001)Slides
Jan. 235 Divide-and-conquer algorithms (cont.)Lecture 5 (ABK)
Lecture 5 (Miles)
Tablet (Miles)
Discussion Slides
Jan. 256 Breadth-first search, SP, DijkstraChapter 4.1-4.4Lecture 6
Tablet
Notes
Jan. 26Homework 2 review session (5 pm - 5:50 pm, WLH 2001)Slides
Jan. 29Midterm review session (7 pm - 8:50 pm, GH 242) Slides
Jan. 307 Bellman-Ford, PQsChapter 4.5-4.7Lecture 7
Tablet
Notes
Discussion Slides
Feb. 1In-class midterm
Midterm - 2013 (Set A | Set B )

Midterm - 2014(Set A)
Midterm - 2014(Set B)
Midterm - 2015
Midterm - 2016
Practice Problems
Practice Problems solutions
Feb. 2Programming assignment 2 review session (5 pm - 5:50 pm, WLH 2001)Slides
Feb. 68 Greedy algorithmsChapter 5Lecture 8
Tablet
Notes
Discussion Slides
Feb. 89 Trees, minimum spanning treesChapter 5.1Lecture 9
Tablet
Notes
Feb. 9Homework 3 review session (5 pm - 5:50 pm, WLH 2001)Slides
Feb. 1310 Dynamic programmingChapter 6Lecture 10
Tablet
Notes
Discussion Slides
Feb. 1511 Dynamic programming (cont.)Lecture 11
Tablet
Notes
Feb. 16Programming assignment 3 review session (5 pm - 5:50 pm, WLH 2001)Slides
Feb. 2012 Flows and Cuts in NetworksChapter 7.2, 7.3Lecture 12
Tablet
Notes
Discussion Slides
Feb. 2213 Linear Programming Chapter 7.2, 7.3; 7.1 (and 7.4)Lecture 13
Tablet
Notes
Feb. 23Homework 4 review session (5 pm - 5:50 pm, WLH 2001)Slides
Feb. 2714 First Consolidation: DP and Flow/LPLecture 14
Tablet
Notes
Discussion Slides
Mar. 115 NP-CompletenessChapter 8Lecture 15
Tablet
Notes
Mar. 2Programming assignment 4 review session (5 pm - 5:50 pm, WLH 2001)Slides
Mar. 616 NP-Completeness (cont.)Lecture 16
Tablet
Notes
Discussion Slides
Mar. 817 Coping with Intractability + MetaheuristicsChapter 9.1, 9.2Lecture 17
Tablet
Notes
Mar. 9Homework 5 review session (5 pm - 5:50 pm, WLH 2001)Slides
Mar. 1318 Second Consolidation / ReviewLecture 18
Mar. 1519 Research and Graduate School AdviceLecture 19
Mar. 16Final review session (5 pm - 5:50 pm, WLH 2001)
Final review session (7 pm - 8:50 pm, Peter 108)
Mar. 17Final review session (3 pm - 4:50 pm, WLH 2001)
Tuesday, Mar. 20Final Exam (Schedule: 7 pm - 10 pm)Final - 2015
Final - 2013 (Version A)
Final - 2013 (Version B)

Model Solutions

Model solutions – These are provided to give you an idea of the level of detail and formality that would receive full credit in homework writeups or exams.

Handouts

Assignments

AssignmentDueLaTeX templateRubric
Homework 0January 12, 11:59pm Pacific TimeLaTeX Template
PDF Template
0.5% (for anything turned in)
Programming Assignment 0January 12, 11:59pm Pacific TimeStarter Code
Homework 1January 19, 11:59pm Pacific TimeLaTeX Template
PDF Template
Review Slides
Programming Assignment 1January 26, 11:59pm Pacific TimeStarter Code
FAQ
Homework 2February 02, 11:59pm Pacific TimeLaTeX Template
PDF Template
Programming Assignment 2February 9, 11:59pm PSTStarter Code
FAQ
Homework 3February 16, 11:59pm Pacific TimeLaTeX Template
PDF Template
Programming Assignment 3February 23, 11:59pm PSTStarter Code
FAQ
Homework 4March 02, 11:59pm PSTLaTeX Template
PDF Template
Programming Assignment 4March 10, 11:59pm PSTStarterCode
FAQ
Homework 5March 16, 11:59pm PSTLaTeX Template
PDF Template

Install LaTeX

Using LaTeX

Course Goals

Read course goals

Textbook

  • Required: Algorithms by S. Dasgupta, C. Papadimitriou and U. Vazirani, McGraw-Hill, 2008. Read online
    Note that the free online version has subtle differences from the hardcopy version.

  • Useful:
    • Course notes from MIT's Mathematics for Computer Science
    • Introduction to Algorithms: A Creative Approach by Udi Manber, Addison-Wesley 1989
    • Introduction to Algorithms, (CLRS) T. Cormen, C. Leiserson, R. Rivest and C. Stein, The MIT Press
    • Algorithm Design, J. Kleinberg, E. Tardos, Addison Wesley, 2005
    • The Art and Craft of Problem Solving, Paul Zeitz, John Wiley & Sons 2007. Read online
    • Problems on Algorithms, Ian Parberry. Download (donation based)

Grading

  • A total of 106% points will be obtainable via Homeworks, Programming Assignments, Midterm and Final. If you obtain a total of 90% or above, you are guaranteed to receive some form of A (i.e., A- or above). If you obtain a total of 80% or above, you are guaranteed to receive some form of B or better. If you obtain a total of 70% or above you are guaranteed to receive some form of C or better.
  • 5 Written Homeworks – due Weeks 2, 4, 6, 8, 10 – 20%
  • 4 Programming Assignments – due Weeks 3, 5, 7, 9 – 20%
  • Midterm – in-class on Feb 1 (Thursday of Week 4) – 25%
  • Final – Tuesday, March 20, 7 pm – 10 pm. – 40%
  • For Midterm and Final, "100%" will be set to the average of the top 3 undergraduate scores on the exam. This policy corrects for possible miscalibration of exams toward the too-difficult side.
  • Two "pipecleaner" assignments, "HW #0" and "PA #0", are due by 11:59pm Pacific Time on Friday, January 12. You will receive 0.5% points for completing each by the deadline (hence, the total of 106% points possible this quarter). HW #0 will not be graded, but solutions will be posted after the deadline. The purpose of HW #0 and PA #0 is to help each student ensure that turn-in and other basics (ieng6 login, github repo link, gradescope submission, etc.) are all working smoothly. HW #0 also recalls several CSE 21 learnings that are assumed in CSE 101

Written Homework policy

Homework assignments #1 - #5 will be due on Fridays of Weeks 2, 4, 6, 8, 10 and must be turned in on gradescope by 11:59 pm. The homework assignments reinforce the subject matter and skills learned in class, and are an integral part of the learning process. Each of the five homework assignments has equal weight. Due to resource limits, homework grading may be sampling-based – i.e., not all problems will be graded in detail.

  • Lateness - Maximum credit on a homework assignment drops to 50% immediately after the deadline, and to 0% 24 hours after the deadline.
  • Rigor and Conciseness - When you are asked to devise an algorithm, unless otherwise specified you must establish correctness and running time. You should strive to be complete yet concise in your answers.

Programming Assignments policy

Programming assignments #1 - #4 will be due at 11.59 pm on Fridays of Weeks 3, 5, 7, 9. Each of the assignments has equal weight.

  • Programming homeworks will be in C++. Starter code will be posted via Github. Similar to the style of CSE 100, a README file will define each assignment's submission requirements and evaluation criteria.
  • Programming assignments can be done individually or in pairs. At least one assignment must be done individually, and no pair can submit more than one assignment together. (In other words, you're on your own for at least one assignment, and you can't have the same partner twice.)

Grading Inquiries (including Regrade Requests)

Inquiries about your grade should be directed in writing (email) to the TAs with the exception of homework assignments, which have a regrade input feature on Gradescope for your use. All grading inquiries must be made within *three* days after the announcement of an assignment's grades.

Academic Integrity

(Adapted in part from Cynthia Lee Bailey)

  • Any sources of assistance obtained during your execution of homework assignments (both written homework and programming homework) must be clearly stated as part of your homework submission. Examples: (1) I developed my solution to Problem 3 in collaboration with Firstname Lastname, and then wrote up the solution myself; (2) For Part 2b, I adapted source code that I found on Stack Overflow at the URL [...], and obtained debugging help from Firstname Lastname
  • Plagiarism of homework is a serious breach of academic integrity, and will affect your entire grade for the course, not just the portion allotted to homework.
  • Any collaboration while taking in-class exams will be considered a breach of the UCSD Policy on Integrity of Scholarship and will be dealt with as such.
  • Do not cheat. If you are suspected of cheating, we will enforce the UCSD Policy on Integrity of Scholarship. This means that your case will be referred to the Dean of your college, who will determine your guilt or innocence, and who will determine your punishment if guilty. Punishment may be up to and including an F in the course, academic probation or suspension from UCSD.
  • Use of any assistance not explicitly authorized by the instructor is considered cheating. Translation: you cannot assume something is ok just because we haven't said not to do it. If you have any questions about this, please ask.

Topics:

Kahng CSE101 Quizzes+Solutions

External resources:

Implementations in Python and C:

(After downloading from the Python links, please change the .txt file extension to .py to execute the files as Python programs.)

  • Longest Common Subsequence (DP) (Python)
  • Maximum Consecutive Subarray (DP) (Python)
  • Minimum Edit Distance (DP) (Python)

Lectures: Tuesdays and Thursdays at 6:30 pm PETERSON HALL 108.
Discussions:
A001 - Wednesday from 8 pm to 8.50 pm (CSB 002)
A002 - Thursday from 8 pm to 8.50 pm (CSB 002)
A003 - Friday from 10 am to 10.50 am (CENTR 113)
A004 - Friday from 12 pm to 12.50 pm (SOLIS 104)

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