Modeling, Learning, and Decision-Making

2022 Fall
#25152
STAT C102 106 - DIS 106 offered through Statistics

Data, Inference, and Decisions

Aug 24, 2022 - Dec 09, 2022
We
02:00 pm - 02:59 pm
Etcheverry 3109
Class #:25152
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.
2022 Fall
#25151
STAT C102 105L - LAB 105L offered through Statistics

Data, Inference, and Decisions

Xinqi Yu
Aug 24, 2022 - Dec 09, 2022
Mo
01:00 pm - 01:59 pm
Moffitt Library 106
Class #:25151
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.
2022 Fall
#25150
STAT C102 105 - DIS 105 offered through Statistics

Data, Inference, and Decisions

Aug 24, 2022 - Dec 09, 2022
We
01:00 pm - 01:59 pm
Etcheverry 3109
Class #:25150
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.
2022 Fall
#25040
STAT C102 104L - LAB 104L offered through Statistics

Data, Inference, and Decisions

Michelle Gu
Aug 24, 2022 - Dec 09, 2022
Mo
12:00 pm - 12:59 pm
Etcheverry 3105
Class #:25040
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.
2022 Fall
#25039
STAT C102 104 - DIS 104 offered through Statistics

Data, Inference, and Decisions

Aug 24, 2022 - Dec 09, 2022
We
12:00 pm - 12:59 pm
Cory 289
Class #:25039
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.
2022 Fall
#25038
STAT C102 103L - LAB 103L offered through Statistics

Data, Inference, and Decisions

Michelle Gu
Aug 24, 2022 - Dec 09, 2022
Mo
11:00 am - 11:59 am
Hearst Gym 242
Class #:25038
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.
2022 Fall
#25037
STAT C102 103 - DIS 103 offered through Statistics

Data, Inference, and Decisions

Aug 24, 2022 - Dec 09, 2022
We
11:00 am - 11:59 am
Hearst Field Annex B5
Class #:25037
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 103 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.
2022 Fall
#25036
STAT C102 102L - LAB 102L offered through Statistics

Data, Inference, and Decisions

Mariel Werner
Aug 24, 2022 - Dec 09, 2022
Mo
10:00 am - 10:59 am
Evans 9
Class #:25036
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 102L 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.
2022 Fall
#25035
STAT C102 102 - DIS 102 offered through Statistics

Data, Inference, and Decisions

Aug 24, 2022 - Dec 09, 2022
We
10:00 am - 10:59 am
Moffitt Library 106
Class #:25035
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - DIS 102 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.
2022 Fall
#25034
STAT C102 101L - LAB 101L offered through Statistics

Data, Inference, and Decisions

Rachel McCarty
Aug 24, 2022 - Dec 09, 2022
Mo
09:00 am - 09:59 am
Etcheverry 3105
Class #:25034
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C102 - LAB 101L 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.
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