Artificial Intelligence
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Goal
GOAL 1 Graduates will demonstrate the ability to perform as an entry level programmer in Python.
Learning Outcomes
1. The student will demonstrate a knowledge of designing, constructing, and assessing appropriate solutions using a variety of basic techniques.
2. The student will utilize Python for a variety of data mining and advanced search techniques.
2. The student will utilize Python for a variety of data mining and advanced search techniques.
Goal
GOAL 2 Graduates of the program will be able to properly construct and query databases and provide information from the stored data.
Learning Outcomes
1. The student will be able to create and manage databases.
2. The student will demonstrate an understanding of SQL commands to create, maintain, and query a relational database.
3. The student will manage and organize relational databases and user/data privileges.
2. The student will demonstrate an understanding of SQL commands to create, maintain, and query a relational database.
3. The student will manage and organize relational databases and user/data privileges.
Goal
GOAL 3 Graduates of the program will be able to interpret and apply various statistical techniques to solve problems.
Learning Outcomes
1. The student will demonstrate a knowledge of statistical, sampling, correlation, regression, and probability theories.
Goal
GOAL 4 Graduates of the program will be able to describe the basics of Artificial Intelligence, machine learning, and the application to problem solving, , automated search, and planning techniques.
Learning Outcomes
1. The student will define artificial intelligence, knowledge representation, artificial neural networks, and machine learning.
2. The student will explain artificial intelligence search techniques.
3. The student will describe machine learning basics and machine learning algorithms.
4. The student will demonstrate how to analyze real-world problems based on machine learning techniques.
2. The student will explain artificial intelligence search techniques.
3. The student will describe machine learning basics and machine learning algorithms.
4. The student will demonstrate how to analyze real-world problems based on machine learning techniques.
Goal
GOAL 5 The graduate will be able to describe the principles and techniques behind Data Mining.
Learning Outcomes
1. The student will be able to explain data mining, classification, and cluster analysis concepts and methods.
2. The student will be able to explain data mining techniques such as preprocessing and mining frequent patterns and associations.
2. The student will be able to explain data mining techniques such as preprocessing and mining frequent patterns and associations.