Modeling, Learning, and Decision-Making

2021 Fall
#26476
STAT C102 108 - DIS 108 offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
We
04:00 pm - 04:59 pm
Wheeler 202
Class #:26476
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 108 Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26475
STAT C102 107L - LAB 107L offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
Mo
04:00 pm - 04:59 pm
Etcheverry 3111
Class #:26475
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 107L Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26474
STAT C102 107 - DIS 107 offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
We
03:00 pm - 03:59 pm
Evans 3
Class #:26474
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 107 Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26473
STAT C102 106L - LAB 106L offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
Mo
04:00 pm - 04:59 pm
Etcheverry 3113
Class #:26473
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 106L Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26472
STAT C102 106 - DIS 106 offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
We
02:00 pm - 02:59 pm
Evans 70
Class #:26472
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 106 Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26471
STAT C102 105L - LAB 105L offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
Mo
01:00 pm - 01:59 pm
Etcheverry 3108
Class #:26471
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 105L Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26470
STAT C102 105 - DIS 105 offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
We
01:00 pm - 01:59 pm
Evans 9
Class #:26470
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 105 Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26317
STAT C102 104L - LAB 104L offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
Mo
12:00 pm - 12:59 pm
Hearst Field Annex B5
Class #:26317
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 104L Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26316
STAT C102 104 - DIS 104 offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
We
12:00 pm - 12:59 pm
Social Sciences Building 140
Class #:26316
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 104 Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
2021 Fall
#26315
STAT C102 103L - LAB 103L offered through Statistics

Data, Inference, and Decisions

Aug 25, 2021 - Dec 10, 2021
Mo
11:00 am - 11:59 am
Class #:26315
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 103L Data, Inference, and Decisions more detail
This course develops the probabilistic foundations of inference in data science, and builds a comprehensive view of the modeling and decision-making life cycle in data science including its human, social, and ethical implications. Topics include: frequentist and Bayesian decision-making, permutation testing, false discovery rate, probabilistic interpretations of models, Bayesian hierarchical models, basics of experimental design, confidence intervals, causal inference, Thompson sampling, optimal control, Q-learning, differential privacy, clustering algorithms, recommendation systems and an introduction to machine learning tools including decision trees, neural networks and ensemble methods.
Subscribe to Modeling, Learning, and Decision-Making