- International Fees
International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
Course details
This hands-on course follows on from MATH 1060 - Statistics for Data Analysis and introduces the students to many of the techniques used in the field of data analytics. This introduction will enable students to use general classification and predictive analysis methods. Methods appropriate for scientific data are also discussed. Labs and projects using the open source statistical analysis tool, R, build on the skills learned in Math 1060 to apply these advanced techniques. Upon successful completion, students will be able to effectively analyze large and small data sets while adhering to sound statistical principles. This course is required for COMP 4254 in the Applied Data Analytics Certificate offered by BCIT Computing. MATH 3060 will be offered only in the fall (September) and winter (January) terms.
Prerequisite(s)
- 60% in MATH 1060
Credits
4.0
Domestic fees
$763.69 - $775.69 See individual course offerings below for actual costs.
Course offerings
Fall 2023
Below is one offering of MATH 3060 for the Fall 2023 term.
CRN 44117
Duration
Sat Sep 09 - Sat Dec 09 (14 weeks)
- 14 weeks
- CRN 44117
- Domestic fees $763.69International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Sep 09 - Dec 09 | Sat | 09:30 - 12:30 | Online |
| Oct 21 | Sat | 09:30 - 12:30 | Burnaby SE12 Rm. 310 |
| Dec 09 | Sat | 09:30 - 12:30 | Burnaby SE12 Rm. 310 |
Instructor
Takashi Nakamura
Course outline
Domestic fees
$763.69
Important information
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
***IMPORTANT INFORMATION READ CAREFULLY*** COURSE FORMAT IS SYNCHRONOUS ONLINE LECTURES AND HAS TWO MANDATORY IN-PERSON EXAMs at the Burnaby Campus. 1. Midterm Exam: Saturday, October 21st, 2023 2. Final Exam: Saturday, December 9th, 2023 This class meets once per week for 3 hours in a virtual classroom AND requires an additional 1 hour per week as an online component. Course is 48 hours – 36 in class and 12 online Note: No class on Saturday, September 30th (National Day for Truth and Reconciliation), Saturday, November 11th (Remembrance Day)
Status
In Progress
This course offering is in progress. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
Winter 2024
Below is one offering of MATH 3060 for the Winter 2024 term.
CRN 87360
Duration
Sat Jan 06 - Sat Mar 23 (12 weeks)
- 12 weeks
- CRN 87360
- Domestic fees $775.69International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Jan 06 - Mar 23 | Sat | 09:30 - 12:30 | Online |
| Feb 10 | Sat | 09:30 - 12:30 | Burnaby SW03 Rm. 3655 |
| Mar 23 | Sat | 09:30 - 12:30 | Burnaby SW03 Rm. 3655 |
Instructor
Takashi Nakamura
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Domestic fees
$775.69
Important information
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
***IMPORTANT INFORMATION READ CAREFULLY*** COURSE FORMAT IS SYNCHRONOUS ONLINE LECTURES AND HAS TWO MANDATORY IN-PERSON EXAM SESSIONS on the BURNABY CAMPUS 1. Midterm: Saturday, 10 February 2024 2. Final: Saturday, 23 March, 2024 This class meets once per week for 3 hours in a virtual classroom AND requires an additional 1 hour per week as an online component. Course is 48 hours - 36 in class and 12 online.
Status
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Compute confidence regions and perform basic hypothesis testing with multivariate normal distributions.
- Perform dimensionality reduction of high-dimensional data sets using principal component analysis.
- Describe principles of various regression and classification/clustering algorithms.
- Apply appropriate classification algorithms for problems at hand.
- Describe principles of various time series analysis methods.
- Apply appropriate time series analysis for problems at hand.
- Apply basic Bayesian statistics in decision making and risk assessment.
- Describe principles of neural network algorithms.
- Adopt constantly-evolving new tools (algorithms).
Effective as of Fall 2016
Related Programs
Advanced Statistical Techniques for Data Analytics (MATH 3060) is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
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