BTP500 - Data Structures and Algorithms

Outline information
Semester
Schools offering this subject
Last revision date 2018-07-31 09:29:10.438
Last review date 2018-07-31 09:29:24.15

Subject Title
Data Structures and Algorithms

Subject Description
This is a survey course on algorithms and data structures commonly used in computer programs. Students taking this course will learn how these classical data structures and algorithms function. They will learn how to implement these data structures and apply them to real programming problems. Students will also learn how these data structures are used to implement parts of the standard language libraries. Furthermore, the course will also introduce students to computational theory. This course is meant to provide students with a fundamental background to computer science concepts.

Credit Status
1 credit (3 units)
Required for BSD - Bachelor of Technology (Software Development)

Learning Outcomes
Upon successful completion of this subject the student will be able to:

  1. Analyze algorithms and data structures for resource usage to design optimal programs
  2. Explain the relationship between resource use growth rates and observed algorithmic behavior to forecast performance
  3. Use pseudo code and diagrams to explain how data structures and algorithms are implemented
  4. Implement custom linked-list structures to extend the behavior of language specific libraries 
  5. Explain the P vs NP problem to recognize the limitations of computation
  6. Implement key-based container classes to retrieve data quickly and efficiently 
  7. Use graph data structures to store information about relationships between objects

Essential Employability Skills
Communicate clearly, concisely and correctly in the written, spoken and visual form that fulfils the purpose and meets the needs of the audience.

Execute mathematical operations accurately.

Apply a systematic approach to solve problems.

Use a variety of thinking skills to anticipate and solve problems.

Manage the use of time and other resources to complete projects.

Take responsibility for one's own actions, decisions, and consequences.

Academic Integrity
Seneca upholds a learning community that values academic integrity, honesty, fairness, trust, respect, responsibility and courage. These values enhance Seneca's commitment to deliver high-quality education and teaching excellence, while supporting a positive learning environment. Ensure that you are aware of Seneca's Academic Integrity Policy which can be found at: http://www.senecacollege.ca/about/policies/academic-integrity-policy.html Review section 2 of the policy for details regarding approaches to supporting integrity. Section 2.3 and Appendix B of the policy describe various sanctions that can be applied, if there is suspected academic misconduct (e.g., contract cheating, cheating, falsification, impersonation or plagiarism).

Please visit the Academic Integrity website http://open2.senecac.on.ca/sites/academic-integrity/for-students to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.

Discrimination/Harassment
All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at student.conduct@senecacollege.ca.

Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.