ITEC2900 Machine Learning with Python
This course is an overview of machine learning (ML) concepts and techniques to include topics such as ML algorithms, supervised learning, and applied neural networks. Applying ML principles, students will develop a software application to demonstrate such concepts.
Course Requirements and Evaluation
Refer to Course Syllabus for detailed information regarding the requirements and evaluation standards for this course. The Course Syllabus will be distributed the first week of the course.
Learning Outcomes
The following outcomes will be addressed in the course:
Describe machine learning (ML) concepts
Demonstrate ML algorithms
Identify a problem where ML algorithm is applicable
Apply a selected ML technique
Describe a system using ML techniques
List ML algorithms
Apply an ML algorithm
List neural network algorithms
Demonstrate neural network techniques
Illustrate supervised learning
Compare ML algorithms
Apply ML concepts using available software tools
Text and References
A list of textbooks required for this course is available at the
campus store and in eServices.
Course Scheduling
The scheduled hours of instruction include sixteen hours for each lecture credit, thirty-two hours for each lab credit, and forty hours for each credit of supervised occupational experience (SOE). Lecture credit may include formal or impromptu lectures, demonstrations, or discussions with the entire class or with small groups or individuals. Refer to the Course Credits section of this course outline for the credit breakdown.
Accommodations Statement
Access Services - Reasonable accommodations are available to qualified students with documented disabilities. Upon attending an intake meeting with Access Services, qualified students will receive a letter listing the approved accommodations that they may provide to their instructors. If you have a documented disability that may require accommodations, contact HTC Access Services at
AccessServices@hennepintech.edu or
https://hennepintech.edu/current-students/access-services/index.html.
Campus
Brooklyn Park Campus and Eden Prairie Campus: 952-995-1300
Credit Details