CMPU-102-02 Computer Science II: Data Structures and Algorithms - Fall 2018 syllabus

An algorithm is the specification of a method to solve a given problem. A data structure is a specific way of organizing data so that it can be used efficiently by an algorithm. This course approaches data structures and algorithms from a practical perspective, using Object-Oriented Programming (OOP), and particularly Java, as a framework to learn and experiment with the concepts being discussed.

Topics covered include:

  • Object-Oriented Programming
    • Encapsulation
    • Inheritance
    • Polymorphism
    • Java programming
  • Data structures
    • Arrays
    • Linked lists
  • Abstract data types
    • Lists
    • Queues
    • Stacks
    • Heaps
    • Maps
    • Trees
    • Graphs
  • Algorithms
    • Searching
    • Sorting
  • CMPU-101

Rui Meireles

Website: www.cs.vassar.edu/~rpachecomeireles

Email: firstname.lastname@vassar.edu (expected response time: 24 business-day hours, i.e. no response on weekends)

Office: Sanders Physics 304

Office hours: Tuesdays and Thursdays, 4-6 PM. Other times by appointment.

  • Colburn Morrison (cmorrison@vassar.edu), Office hours: Mon 4-6 PM, Thu 3-5 PM and Fri 3-5 PM at SP 307
  • Eura Choi (echoi@vassar.edu), Office hours: Tue 3-5 PM and Wed 3-5 PM at SP 307
  • Henry Fosmire (hefosmire@vassar.edu), Office hours: Tue 5:30-7:30 PM and Thu 5:30-7:30 PM at SP 307
  • Labs: 15%
  • Homework projects: 35%
  • Midterm: 25%
  • Final exam: 25%

Class attendance is not mandatory but strongly encouraged. Students are responsible for ALL information given in class, whether or not it is presented in any other form.

If a student misses a class he/she should consult with classmates to find out about any information—academic, administrative, or other—that he/she may have missed.

Use of electronic devices for note taking during lectures is permitted. However, devices must be in silent mode at all times so as to not disturb the class. The use of electronic devices for non-class related purposes is prohibited.

Labs will require the use of a computer. Students may elect to use the computers provided by the College or their own if they so prefer.

Homework projects shall be used to consolidate and expand upon concepts introduced in class. These consist of Java programming assignments.

You can expect a total of 4 projects. 3 of increasing size and complexity and a short final one.

All labs, homework projects, and exams should be completed by each student by themselves.

Copying solutions is strictly forbidden.

  • The Quantitative Reasoning Center (ltrc.vassar.edu/qrc/) helps students improve their analytical skills pertaining to quantitative subjects.
  • The Writing Center (ltrc.vassar.edu/writing-center/) helps students improve the clarity and cogency of their writing.

Academic accommodations are available for students registered with the Office for Accessibility and Educational Opportunity. Students in need of ADA/504 accommodations should schedule an appointment with the professor early in the semester to arrange for said accommodations.

Vassar College is committed to providing a safe and respectful learning environment for all students. An environment free of all forms of discrimination and harassment, including sexual assault, domestic violence, dating violence, and stalking. Vassar College has staff members trained to support students in navigating campus life, accessing health and counseling services, providing academic and housing accommodations, helping with legal protective orders, and more:

  • Counseling Service (counselingservice.vassar.edu, 845-437-5700)
  • Health Service (healthservice.vassar.edu, 845-437-5800)
  • Charlotte Strauss-Swanson, SAVP (Sexual Assault and Violence Prevention) director (savp.vassar.edu, 845-437-7863)
  • SART (Sexual Assault Response Team) advocate, available 24/7 by calling the CRC at 845-437-7333
  • The SAVP website and the Title IX section of the EOAA website (eoaa.vassar.edu/title-ix/) have more information, as well as links to both on- and off-campus resources.