MAT 3379 Introduction to Time Series Analysis

3 units
Mathematics
Faculty of Science
Time domain methods: detrending, dealing with non stationarity and seasonality; autoregressive moving average (ARMA) models: forecasting, estimation, diagnostics. Selected topics from: state space methodology, financial time series, time series regression, spectral domain. Time series data will be analyzed using software packages.

Components:

Laboratory
Lecture

Requirements:

Prerequisites: MAT 2371 , ( MAT 2375 or MAT 2378 or MAT 2379 ).

Previously Offered Terms:

Winter
Summer

French Equivalent:

All Professors
B+ Average (6.685)
Most Common: A+ (29%)
470 students

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NS

F

D

C

B

A-

A+

Rafal Kulik

Winter 2024 - A00

A- Average (7.939)
Most Common: A+ (43%)
115 students

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NS

F

D

C

B

A-

A+

Mahmoud Zarepour

4 sections from Winter 2018 to Winter 2023

C+ Average (4.759)
Most Common: D (13%)
166 students

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S

NS

F

D

C

B

A-

A+

Hai Yan Liu

Summer 2022 - X00

B+ Average (7.257)
Most Common: A+ (29%)
70 students

P

S

NS

F

D

C

B

A-

A+

Unknown Professor

Winter 2022 - A00

A- Average (7.824)
Most Common: A+ (43%)
119 students

P

S

NS

F

D

C

B

A-

A+