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COMP 7615 - Selected Topics in Computer Systems

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

Course Details

MALWARE ANALYSIS: CRN 85320 The course is designed to equip students with Malware analysis skills, which are a critical requirement in the cybersecurity repertoire today. Throughout the course, students will learn to reverse engineer and analyze machine code. Students will be able to identify vulnerabilities in executable code and construct effective defenses against malicious attacks. The course will develop a strong set of skills for reverse-engineering malicious software using a variety of freely available tools. Students will learn to identify and acquire investigative leads from host and network-¬based indicators associated with malicious code and applications. DATA MINING: CRN 83129 There is a wealth of information stored in each organization's operational data store, with an increasing demand to mine that data and use it for competitive advantage. Data Mining/Business Intelligence enables organizations to move from merely good to great by supporting better business decision making. Course participants will gain an understanding of the principles of data mining and the various techniques and algorithms through classroom instructions and by conducting a research paper in data mining / business intelligence technology. Through participation in a group project, students are exposed to hands-on experience of designing and using a data mining tool to consolidate their learning experience. Some of the Data Mining predictive and inference techniques learned in the course can apply to Big Data and Data Science. The course is divided into three main components: (1) Understanding of knowledge discovery, business intelligence, data mining concepts, techniques, selected algorithms and associated applications, as well as overview of the underlying large data storage architecture such as data warehouse and data mart; (2) Participation in a group project in design and building a model using a business intelligence data mining tool; (3) Conduct an individual research paper on a data mining algorithm and/or tool for a business application.

Credits

3.0

Cost

$716.00

Winter 2018

Below are two offerings of this course for the Winter 2018 term.

CRN 83129

Wed Jan 10 - Wed Mar 28 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 10 Wed 18:30 - 22:15 DTC
Jan 10 - Mar 28 18:30 - 22:15 Online
Feb 07 Wed 18:30 - 21:15 DTC
Mar 14 Wed 18:30 - 22:15 DTC
Mar 28 Wed 18:30 - 22:15 DTC

Instructor

TBD

Course Outline

TBD – see Learning Outcomes in the interim

Cost

$716.00

Notes

  1. The topic for this section in the Winter 2018 term is Data Mining. Hybrid delivery format. 2. This course will be a combination of in-class sessions (15.0 hours) AND online instruction (30.0 hours). Classroom sessions will be held on the following Wednesdays at the Downtown campus: January 10, February 7, and March 14. The final exam will be held on March 28 at the Downtown campus. All sessions will be from 1830-2215. ***This is not a self-paced course. There will be specific timelines for assignments and exams.*** Course content, kind and quality of assignments and general standards for this course are the same as classroom courses. You must have an email address and access to a computer capable of downloading basic documents.

This course offering has been cancelled. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

Cancelled

CRN 85320

Thu Jan 11 - Thu Mar 29 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 11 - Mar 29 Thu 17:30 - 21:15 BBY SE12 Rm. 323

Instructor

Aman Abdulla

Course Outline

Cost

$716.00

Notes

  1. The topic for this section in the Winter 2018 term is Malware Analysis. This is a CST BTech course. CST BTech courses are also open to non-bachelor program students. CST Bachelor program students have up to seven (7) years to complete the Bachelor program starting from the date of their first Technical degree-level course or the date of acceptance to the Bachelor program, WHICHEVER COMES FIRST.

This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress

Learning Outcomes

MALWARE ANALYSIS: CRN 85320

Upon successful completion of this course, the student will be able to:

  • Understand and use the core skills required in malware incident response investigations and analysis of Advance persistent threats.
  • Use a variety if malware analysis tools (IDA Pro, OllyDbg, WinDBG, ProcMon, Peepdf, wxHexEditor, etc) as part of malicious code identification and analysis.
  • Reverse engineer machine code in order to detect and analyze malware characteristics and behavior.
  • Analyze malware using static and dynamic analysis techniques.
  • Carry out file format analysis of various standard formats such as PDF, Flash, Word, Excel, etc.
  • Debug malware and modify control flow and logic of software.
  • Analyze assembly code and identify malicious code.

DATA MINING: CRN 83129

Upon successful completion of this course, the student will be able to:

  • Discuss business intelligence / data mining applications and related issues.
  • Describe knowledge discovery, business intelligence and the various data mining concepts and algorithms.
  • Apply appropriate model and algorithm using a data mining tool.
  • Explain key architecture components and issues of large data stores.

Effective as of Winter 2018

Related Programs

COMP 7615 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Computer Systems (Network Security Administration Option)
    Full-time   Bachelor of Technology
  2. Computer Systems (Database Option)
    Part-time   Bachelor of Technology
  3. Computer Systems (Human Computer Interface Option)
    Part-time   Bachelor of Technology
  4. Computer Systems (Network Security Administration Option)
    Part-time   Bachelor of Technology
  5. Computer Systems (Network Security Applications Development Option)
    Part-time   Bachelor of Technology
  6. Computer Systems (Wireless and Mobile Applications Development Option)
    Part-time   Bachelor of Technology

Books & Supplies

The BCIT bookstore carries textbooks, general reference books, software, and stationery. Please visit bcit.ca/bookstore for more information.

Winter 2018

Books for Winter 2018 offerings of this course are available in the following BCIT online bookstores. Please choose the bookstore appropriate for the offering you are considering.

BCIT Burnaby Bookstore

If you are taking this course, but are not taking it through either Distance Education or Online Learning, nor at the BCIT Downtown Campus (DTC), please purchase books for this course at the BCIT Burnaby Bookstore.

Introduction to Data Mining (2nd Edition)
Author Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar
Publisher Pearson
Copyright 1919
Binding Hardback
ISBN 978-0-13312-890-1
Price $159.95
Required

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The personal information on this form is collected under the authority of the College and Institute Act (RSBC 1996, Ch.52). BCIT will use this information to communicate with you regarding relevant BCIT programs, courses and services. This information is only used by authorized BCIT staff. Email communication sent to and from BCIT is routed through the United States of America. If you have any questions about BCIT's collection and use of this information, please contact BCIT’s manager of Information Access and Privacy.

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