Spring 2026 Course Search

Beginning Guitar — MIN2247.01, section 1

Instructor: John Kirk
Days & Time: Th 10:00AM-10:50AM
Credits: 2

Introduces the fundamentals of guitar playing, including: posture, hand positions, tuning, chords, strumming, finger-picking, songs and tunes, major scales, and beginning to read music. History of the guitar and its past and current artists will be shared.

Ukulele Comprehensive — MIN2230.01

Instructor: John Kirk
Days & Time: W 11:00AM-11:50AM
Credits: 2

A comprehensive course in learning musical skills on the ukulele. We will learn the history of the uke, from its Portuguese and Indigenous Hawaiian origins, and both traditional and contemporary styles. Music theory and playing techniques will be learned and practiced. Awareness of traditional styles of playing the instrument will be furthered through a listening component and ensemble playing with other instrumentalists. Repertoire will be drawn from traditional and original Hawaiian songs, as well as contemporary music from the past 60 years.

Song for Ireland and Celtic Connections — MHI2251.01

Instructor: John Kirk
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

Celtic history and music from Ireland, Scotland, Bretagne, Galatia, and Cape Breton will be experienced, studied, and performed using instruments and voices. We’ll find and cross the musical bridges between regions–from the ballads of Ireland, Scotland and Wales to the Alalas of Spain, through the Scottish Gaelic speaking Highland and Islands to the dance tunes of Brittany. An end-of-term presentation will be prepared drawing on inspiration from traditional forms.

Statistical Methods for Data Analysis — MAT2104.01

Instructor: Katie Montovan
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and effective presentation of results.

Robotics and STEM Education: A Workshop — EDU2107.01

Instructor: Hugh Crowl
Days & Time: FR 10:30am-12:20pm
Credits: 1

In this course, students will gain experience with using simple programmable robots and how they can be utilized in STEM education. The focus of this class will be on learning and designing lessons for K-12 students utilizing these robots. This class is accessible for students at all levels of computer programming experience (including none). 

Hand-drawn Animation — MA2217.01

Instructor: John Crowe
Days & Time: TU 2:10pm-4:00pm
Credits: 2

Fundamentals of 2-D animation principles will be explored through drawing, from basic motion cycles to straight-ahead animation. Students will primarily work with wet/dry mediums on paper, with additional instruction in After Effects compositing workflow, and digital drawing. Weekly exercises will explore a variety of animation techniques to create short projects. While Screenings, critiques and demonstrations parallel regular viewings of student work.

Digital Modelling and Animation — MA2103.01

Instructor: Sue Rees
Days & Time: FR 8:30am-12:10pm
Credits: 2

This course introduces students to the basic language of 3D animation and modeling.  Students will be expected to become familiar with the basic principles of the MAYA program. A series of modeled objects placed in locations will be created. The emphasis will be on becoming proficient with modelling forms, texturing using Arnold Renderer, basic animation and utilizing lights and cameras.