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Advanced Statistical Techniques for Data Analytics MATH 3060

Mathematics Course

International Fees

International fees are typically 3.12 times the domestic tuition. 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.

Prerequisite(s)

Credits

4.0

Domestic fees

$775.69 - $791.76 See individual course offerings below for actual costs.

Course offerings

Spring/Summer 2024

Below is one offering of MATH 3060 for the Spring/Summer 2024 term.

CRN 65337

Duration

Sat Apr 06 - Sat Jun 22 (12 weeks)

  • 12 weeks
  • CRN 65337
  • Domestic fees $775.69
    International fees are typically 3.12 times the domestic tuition.
Class meeting times
Dates Days Times Locations
Apr 06 - May 04 Sat 09:30 - 12:30 Online
May 11 Sat 09:30 - 12:30 Burnaby SW03 Rm. 3655
May 18 - Jun 15 Sat 09:30 - 12:30 Online
Jun 22 Sat 09:30 - 12:30 Burnaby SW03 Rm. 3655
Instructor

Takashi Nakamura

Course outline

View

Domestic fees

$775.69

Important information
  1. International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
  2. **IMPORTANT: Prerequisite is MANDATORY and will be verified - NO EXCEPTIONS. Course information will be sent to you prior to your course start date. Check your myBCIT email account access this information. If you have any questions about your pre-requisite, please email mathpts@bcit.ca. THIS COURSE WILL BE DELIVERED WITH ONLINE LECTURES AND IN-PERSON TEST. On the start date of your class (not before), log into learn.bcit.ca to access your course link. 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. Midterm: May 11th
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.

Fall 2024

Below is one offering of MATH 3060 for the Fall 2024 term.

CRN 44117

Duration

Sat Sep 07 - Sat Dec 07 (14 weeks)

  • 14 weeks
  • CRN 44117
  • Domestic fees $791.76
    International fees are typically 3.12 times the domestic tuition.
Class meeting times
Dates Days Times Locations
Sep 07 - Oct 12 Sat 09:30 - 12:30 Online
Oct 19 Sat 09:30 - 12:30 Burnaby SE12 Rm. 310
Oct 26 - Nov 30 Sat 09:30 - 12:30 Online
Dec 07 Sat 09:30 - 12:30 Burnaby SE12 Rm. 310
Instructor

Takashi Nakamura

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Domestic fees

$791.76

Important information
  1. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  2. International fees are typically 3.12 times the domestic tuition. Exact cost will be calculated upon completion of registration.
  3. ***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 19th, 2024 2. Final Exam: Saturday, December 7th, 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 Note: No class on Saturday, October 12th (Thanksgiving weekend), Saturday, November 9th (Remembrance Day weekend)
Status

Sneak Preview

This section is only available for registration starting Wed May 22, 2024 at 9:00 am (PDT)

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:

  • Indicates programs accepting international students.
  • Indicates programs with a co-op option.

School of Computing and Academic Studies

  1. Applied Data Analytics
    Certificate Part-time

Contact Us

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.