Course Schedule

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Course Term
Course Attributes
Fall 2025
INFO

INFO 521 – Introduction to Machine Learning
GIDP: Cognitive Science (COGS) · GIDP: Global Change (GC) · GIDP: Neuroscience (NRSC) · GIDP: Second Lang. Acquisition & Teaching (SLAT) · GIDP: Statistics and Data Science (STATD)

Machine learning describes the development of algorithms which can modify their internal parameters (i.e., "learn") to recognize patterns and make decisions based on example data. These examples can be provided by a human, or they can be gathered automatically as part of the learning algorithm itself. This course will introduce the fundamentals of machine learning, will describe how to implement several practical methods for pattern recognition, feature selection, clustering, and decision making for reward maximization, and will provide a foundation for the development of new machine learning algorithms.

Section
002
Days
MoWe
Time
12:30 PM - 01:45 PM
Date
Aug 25 - Dec 10
Status
Open
Enrollment
0 / 50
  • Days: MoWe
  • Time: 12:30 PM - 01:45 PM
  • Dates: Aug 25 - Dec 10
  • Status: Open
  • Enrollment: 0 / 50
Section
102
Days
Time
Date
Aug 25 - Dec 10
Instructor
Status
Open
Enrollment
0 / 60
  • Days:
  • Time:
  • Dates: Aug 25 - Dec 10
  • Status: Open
  • Enrollment: 0 / 60
Section
202
Days
Time
Date
Aug 25 - Dec 10
Instructor
Status
Open
Enrollment
0 / 60
  • Days:
  • Time:
  • Dates: Aug 25 - Dec 10
  • Status: Open
  • Enrollment: 0 / 60
Summer 2025
INFO

INFO 521 – Introduction to Machine Learning
GIDP: Cognitive Science (COGS) · GIDP: Global Change (GC) · GIDP: Neuroscience (NRSC) · GIDP: Second Lang. Acquisition & Teaching (SLAT) · GIDP: Statistics and Data Science (STATD)

Machine learning describes the development of algorithms which can modify their internal parameters (i.e., "learn") to recognize patterns and make decisions based on example data. These examples can be provided by a human, or they can be gathered automatically as part of the learning algorithm itself. This course will introduce the fundamentals of machine learning, will describe how to implement several practical methods for pattern recognition, feature selection, clustering, and decision making for reward maximization, and will provide a foundation for the development of new machine learning algorithms.

Section
401
Days
Time
Date
Jul 7 - Aug 22
Status
Open
Enrollment
0 / 120
  • Days:
  • Time:
  • Dates: Jul 7 - Aug 22
  • Status: Open
  • Enrollment: 0 / 120
Spring 2025
INFO

INFO 521 – Introduction to Machine Learning
GIDP: Cognitive Science (COGS) · GIDP: Global Change (GC) · GIDP: Neuroscience (NRSC) · GIDP: Second Lang. Acquisition & Teaching (SLAT) · GIDP: Statistics and Data Science (STATD)

Machine learning describes the development of algorithms which can modify their internal parameters (i.e., "learn") to recognize patterns and make decisions based on example data. These examples can be provided by a human, or they can be gathered automatically as part of the learning algorithm itself. This course will introduce the fundamentals of machine learning, will describe how to implement several practical methods for pattern recognition, feature selection, clustering, and decision making for reward maximization, and will provide a foundation for the development of new machine learning algorithms.

Section
002
Days
MoWe
Time
12:30 PM - 01:45 PM
Date
Jan 15 - May 7
Status
Open
Enrollment
9 / 40
  • Days: MoWe
  • Time: 12:30 PM - 01:45 PM
  • Dates: Jan 15 - May 7
  • Status: Open
  • Enrollment: 9 / 40
Section
101
Days
Time
Date
Jan 15 - May 7
Instructor
Status
Open
Enrollment
42 / 50
  • Days:
  • Time:
  • Dates: Jan 15 - May 7
  • Status: Open
  • Enrollment: 42 / 50
Section
201
Days
Time
Date
Jan 15 - May 7
Instructor
Status
Open
Enrollment
42 / 50
  • Days:
  • Time:
  • Dates: Jan 15 - May 7
  • Status: Open
  • Enrollment: 42 / 50
Section
401
Days
Time
Date
Jan 15 - Mar 21
Instructor
unassigned
Status
Open
Enrollment
79 / 120
  • +
  • Section: 401
  • Instructor: unassigned
  • Days:
  • Time:
  • Dates: Jan 15 - Mar 21
  • Status: Open
  • Enrollment: 79 / 120