THIS PAGE IS PROVISIONAL (as of Dec 21, 2017).
Document h1610s18.pdf contains the LATEST
information about this course.
Content might change through the first day of classes!
Intensive study of the fundamentals of data structures and algorithms.
Presents the definitions, representations, processing algorithms for data
structures, general design and analysis techniques for algorithms.
Covers a broad variety of data structures, algorithms and their
applications including linked lists, various tree organizations,
hash tables, strings, storage allocation, algorithms for searching and
sorting, and a selected collection of other algorithms.
1.1 Contact Information
| INSTRUCTOR: |
Alex Gerbessiotis |
E-MAIL: |
alexg+cs610@njit.edu |
| OFFICE: |
GITC 4213, 4th floor |
TEL: |
(973)-596-3244 |
| OFFICE HOURS: |
Tue 4:00-5:30pm and Wed 4:30-5:30pm |
Else, by |
appointment Mon/Thu |
| ASSISTANT: |
TBA on course web-page |
|
|
| CLASS HOURS: |
Tue 6:00-9:05pm, KUPF 209 |
|
|
COURSE WEB PAGE: http://www.cs.njit.edu/~alexg/courses/cs610/index.html
COURSE WEB PAGE [ALTERNATE]: https://www.cs.njit.edu/~alexg/courses/cs610/index.html
Print Handout 1 (the PDF) from Web-page and compare the printout
to the hard-copy received in class! They must be identical.
1.2 Course Administration
- Prerequisites
- Per catalog: CS 114 and CS 241 or equivalent. One way to read this:
CS 505 and CS 506 (Read Handout 0).
- Textbook
- Algorithm Design: Foundations, analysis, and internet examples.
M. T. Goodrich and R. Tamassia. Wiley, 2001, ISBN 0-471-38365-1.
We abbreviate it in class as GT.
- CourseWork:
- 3 exams (including the final).
Programming project (aka PrP). Potentially
one more unannounced quiz (To be determined).
If Exam1 day is a snow day it gets cancelled, and an Exam 2.5 would be given instead (see Exams below).
- Grading Scheme:
- 1000 points = PrP(134) + Ex1 (200) + Ex2 (333) + Ex3(333).
- PrP
- A programming project (PrP) with 2 options, each one worth
134 points. A student may submit one or two options;
all files of one or two options in ONE archive
per Handout 2 AND RECEIVED in MOODLE BEFORE NOON-TIME
of the date specified in the Calendar.
On the sum of the grades of the options submitted lateness points are applied.
30 lateness points deducted at noon-time of due date and every noon-time therafter.
A 0-50 grade for the resulting grade is accounted as 0; an over-50 grade
is cut-off at 134 points. Over-134 points are excess points.
- Practice PS
- Five comprehensive problem sets PS1-5 will be periodically
posted along with their solutions. Exams may draw from these problem sets.
- Exams
- Dates in Course Calendar; all exams in classroom.
Exams are open-textbook only; you may bring a hardcopy of the textbook but
you may not borrow one during the exam.
Exam1 (quiz) is on Feb 06, 60mins, 200 points.
Exam2 (midterm) is on Feb 27, 2hours, 333 points.
Exam3 (final) is on May 08, 2hours, 333 points.
An Exam 2.5 (quiz, 45 minutes) might be given on Apr 10;
in that case Exam1's grade gets halved and Exam 2.5 will count for the cut 100 points.
Or if there is a snowstorm and class cancellation on Feb 06,
Exam1 may get rescheduled on Apr 10.
- Exam Conflicts
- Distance learning (DL) courses might schedule final exams
on the day of this class's final exam. If you are a DL student,
you should not be taking live courses i.e. this section. If you mix DL and live
sections, I will not accommodate DL taking; you got to talk to the DL instructor
for exam conflict resolution. Otherwise, avoid taking this section of CS610.
2.1 Course Objectives
- 1.
- Learn how and be able to understand and formulate the input-output relationship of
computational problems, and formulate the requirements, data and operations of abstract data types
- 2.
- Learn how and be able to asymptotically compare functions using $o,O,\omega,\Omega, \Theta$,
and be able to solve recurrences using the master, iteration/recursion tree, and the substitution methods.
- 3.
- Learn how and be able to describe, derive and determine, the asymptotic performance of
algorithms for computational problems and operations on elementary and more advanced data structures.
- 4.
- Learn how they operate and be able to understand fundamental algorithms and
data-structures, and understand their characteristics for problems related to
searching, sorting, selection, operations on numbers and polynmials and matrices and graphs.
Be able to choose among a variety of similar ones based on
problem/program specification and requirements.
- 5.
- Learn how and be able to compose more complex algorithms using as building blocks
the fundamental algorithms introduced in class.
- 6.
- Learn how and be able to compose more complex algorithms using the algorithmic
design techniques introduced in class.
- 7.
- Learn how and be able to compose advanced data structures using as building blocks
the elementary data structures introduced in class.
- 8.
- Learn how and be able to implement in a high-level imperative language some of the
algorithms and data structures introduced in class in the form of a programming project of
considerable complexity.
- 9.
- Learn how and be able to understand and possibly identify that some problems are
complex and are not susceptible to 'easy' solutions. Learn how and be able to understand the
benefits and complexities of using randomness in computation.
2.2 Course Topics
The following describes a tentative list of topics that is intended to
be covered in class with indicative chapter pointers to GT. Order of class
presentation might change (slightly)!
T1 :Ch1,5.2 : Introduction (insertion-sort, fibonacci sequences),
Algorithm Analysis (Asymptotic Growth of functions, recurrences)
T2 :Ch1,4.1,5.2 : Algorithm Design Techniques (Incremental, Divide-and-Conquer)
Sorting(selection-sort,bubble-sort,merge-sort).
T3 :Ch2.1-2.3 : Elementary Data Structures and Trees. Tree traverals.
Ch4.2 Union-find operations.
T4 :Ch2.4,9.3 : Heaps and Priority Queues. Greedy Algorithms and Huffman coding.
T5 :Ch4 : Quick sort. Complexity of sorting. Sorting in linear time
(radix-sort, bucket/count-sort). Selection.
Randomization in computation (Randomized QuickSort and QuickSelect).
T6 :Ch6 : Graphs and their representation. Graph traversals (DFS,BFS).
Strongly connectivity. Topological sorting.
Ch4.2 Union-find operations.
T7 :Ch7 : Weighted graph problems. Shortest-path problems (Dijkstra's).
All-pairs shortest paths and transitive closure (Floyd-Warshall).
Spanning trees (Prim's and Kruskal's algorithms).
T8 :Not in GT : Graphs and Web-page Ranking: Google's PageRank, Kleinberg's HITS algorithm.
T9 :Ch2.5-2.7 : Hashing.
T10:Ch5 : Integer operations (addition and multiplication). The WORD and BIT models.
Straight line programs.
Matrix operations (addition and multiplication). Strassen's method.
Dynamic Programming and chained matrix multiplication.
T11:Ch3 : Binary Search Trees and Balanced Binary Search trees.
T12:Ch9 : String and Pattern matching algorithms**.
T13:Ch13 : The complexity classes P and NP. NP-completeness.
** Time permitting.
3.1 Tentative Course Calendar
| Fall 2017 |
| Week |
Tue |
Exams |
PrP or PS |
Comments |
| W01 |
01/16 |
|
PPout,PS1* |
|
| W02 |
01/23 |
|
|
|
| W03 |
01/30 |
|
PS2* |
|
| W04 |
02/06 |
Exam1 |
|
|
| W05 |
02/13 |
|
PS3* |
|
| W06 |
02/20 |
|
|
|
| W07 |
02/27 |
Exam2 |
|
aka Midterm |
| W08 |
03/06 |
|
PS4* |
|
| W-- |
03/13 |
|
|
Spring Break |
| W09 |
03/20 |
|
|
|
| W10 |
03/27 |
|
PS5* |
|
| W11 |
04/03 |
|
|
Mon Apr 2: Drop Date |
| W12 |
04/10 |
|
|
Exam 2.5 ?? |
| W13 |
04/17 |
|
PrP in |
PrP before noon |
| W14 |
04/24 |
|
|
|
| W-- |
05/01 |
No-class |
|
It's a Friday for NJIT! |
| W15 |
05/08 |
Exam 3 |
|
Final Exam |
* Problem Sets (PS) with solutions are not for credit.
Any modifications or deviations from these dates or information,
will be done in consultation with the attending students and will be
posted on the course Web-page.
It is imperative that students check the Course Web-page
regularly and frequently.
3.2 Absenteeism
- MISSING
- If you miss a class, it's up to you to make up for lost time.
If you miss an exam you MUST CONTACT the Dean of Students (DOS)
within 2 working days from the day the reason for the absence is
lifted with all necessary documentation. The maximum accommodation period
will be the number of missing days to the exam date:
it is imperative then that you contact DOS even before the
2 working day period has
expired if the accommodation period would be shorter.
For Exam1, a DOS approval will get you a scaled Exam2 grade for Exam1.
For the unannounced quiz and a DOS approval, Exam1 stays as is.
No PrP extensions for any reason, medical or otherwise;
you have 3 months to submit it: SUBMIT EARLY.
Course Syllabus: Policies
- Grading
- Written work will be graded for conciseness and
correctness. Use formal arguments.
Be brief and to the point and write clearly.
Material covered in class and appearing in the relevant notes
and chapters of the designated textbook can be used without proof.
DO NOT USE PENCILS to write down your solutions; If you do use a pencil
do not complain about grading after an exam.
- PrP-grading
- See Handout 2 for detailed information.
- Grades
- Check the marks in a written work and
report errors promptly. Resolve any issues WITHIN 2 CALENDAR WEEKS
and definitely before the first Reading Day from the day an exam is
returned in class; for PrP or Exam3, within
5 calendar days from the day grades were emailed or posted on Banner respectively.
Talk to the grader first and then to the instructor (if different).
The final grade is decided on a 0 to 1000 point scale.
A 25% or less in the final will get you an F. If you get more
than 25% in the final and collect at least 500 points you
should expect a C or better.
850-900 points or more are usually needed for an A
including robust programming work but this varies and may be lower.
If you score less than 500 points the only way to avoid an F is to
do well in the cumulative final (say more than half of the points) or have
leftover programming points.
(All these assuming no violation of the Collaboration policy.)
- Incomplete
- A grade of I(incomplete) is given in rare cases
where work cannot be completed during the semester
due to documented long-term illness or absence (e.g. unexpected
national guard duty). A student needs to be in good standing
(i.e. passing the course before the absence)
and receives a provisional I if there is no time
to makeup for the documented lost time; a letter (or email) with a
timeline of what is needed to be done will be sent to the student.
Note that for most cases an I would be resolved within few days,
not months and not the following semester!
Not showing up in the final will probably get you an F rather than an I.
- Collaboration
-
Collaboration of any kind is PROHIBITED in the
in-class exams and the PrP.
For PrP, a student must turn in code that has fully been written by him/her
and no-one else.
Any submitted code (even few lines) obtained through the Internet or otherwise,
or is product of someone else's work or is common with another student submission,
in the same or other section/course, risks severe punishment,
as outlined by the University;
all parties of such interaction receive automatically 0 and grade is lowered by
one or two levels.
The work you submit must be the result of your own mental effort and you
must safeguard it from other parties; if you can't protect your home computer,
use a Lab (AFS) machine.
- Mobile Devices
- Switch off (not just silence) mobile devices before class.
IF A STUDENT GETS CAUGHT HAVING A PHONE/MOBILE DEVICE (on or off)
ON HIM/HER DURING an exam it is graded 0. DEVICES MUST BE OFF AND in A BAG/BACKPACK, NOT ON YOU.
- Email/SPAM
- Use an NJIT email address or your email might not reach us.
Send email to the designated course email address per Handout 0 instructions!
The NJIT Academic Integrity (Honor) Code will be upheld;
violations will be reported to the Dean of Students (DOS).
Read this handout carefully!
A. Gerbessiotis
2017-12-21