ITEC2580 Advanced Programming with Python
In this course, students will build upon their Python programming skills. Using tools and techniques built and supported by the Python community, students will explore how Python is used to solve real-world problems. Topics include examining essential Python libraries, machine learning, Python and SQL, network programming, and the Agile framework using Python.
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:
Apply network programming fundamentals
Apply concepts of Test-Driven Development (TDD) using Agile
Demonstrate effective code management
Apply advanced program debugging techniques and methods
Describe practical uses for machine learning
Describe programming languages commonly used for data science
Implement advanced data structures
Describe the role of open source libraries in machine learning and Artificial Intelligence (AI)
Develop applications to interact with SQL databases
Develop applications to interact with NoSQL databases
Develop applications following Agile principles
Describe the requirements for a programming language to support Artificial Intelligence (AI) development
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