Search Results
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
IACS ComputeFest: BEDROCK DATA SCIENCE
The objective of the 2022 ComputeFest: BEDROCK DATA SCIENCE is to provide you with the fundamental skills in math, statistics, and programming that you will need in order to undertake a course in machine learning, data science, or AI.
You will begin with the basics of Python, statistics, linear algebra, and calculus, and then apply those basics to topics like Numpy, Pandas, probability and statistics, derivatives, and optimization.
to
Data Science, Atmospheric Composition, and Climate
Understanding the controlling factors behind the chemical composition of the Earth’s atmosphere is a critical step toward addressing the modern environmental challenges of air pollution and climate change. Traditional methods interrogating theoretical predictions with observations have been highly successful in addressing these challenges, particularly in light of the recent immense growth of data availability in the Earth system.
Dr. Sam Silva, Assistant Professor at University of Southern California
to
Pierce Hall 100F
Provable Algorithms for Resilient Data Science
Please register here to join us for the CS Colloquium Series 2020-21 via Zoom. Once you register, you will receive a recurring Zoom link. You only need to register once to be able to attend any of the seminars.
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Sitan Chen, PhD Candidate, MIT
Zoom
Designing K–12 Computer Science Learning Experiences
COMPSCI 1960
2026 Spring
Karen Brennan
Wednesday
9:00am to 11:45am
From computational thinking to workforce arguments, there is considerable interest in and excitement about including computer science education for all K–12 students. Yet, unlike other disciplines with a much longer history in formal schooling, the interest in computer science education is not yet s...
Data Analysis and Statistical Inference in the Earth and Environmental Sciences
ESE 102
2025 Fall
Roger Fu
Monday, Wednesday
3:00pm to 4:15pm
Statistical inference, deterministic and stochastic models of data, denoising and filtering, data, visualization, time series analysis, image processing, Monte Carlo methods. The course emphasizes hands-on learning using real data drawn from atmospheric and environmental observations, applied by stu...
Complex and Fourier Analysis with Applications to Art, Science and Engineering
APMTH 104
2025 Fall
L Mahadevan
Monday, Wednesday
9:45am to 11:00am
Complex analysis: complex numbers, functions, mappings, Laurent series, differentiation, integration, contour integration and residue theory, conformal mappings. Applications to visualization, art (especially M.C. Escher). Anamorphic images. Fourier Analysis: orthogonality, Fourier Series, Fourier t...
Research Practices and Academic Culture in Applied Sciences and Engineering
APPHY 290A
2026 Spring
Thursday
3:00pm to 5:00pm
This course supports new PhD students in finding their research fit, building good research habits, and becoming a researcher. It consists of two 2-unit courses: 290a (spring of G1 year) focuses on adapting to a research group, developing strong reading and writing habits, and preparing students for...
Research Practices and Academic Culture in Applied Sciences and Engineering
APPHY 290B
2025 Fall
David Weitz, Vinothan Manoharan, John Girash
Thursday
3:00pm to 5:00pm
This course supports new PhD students in finding their research fit, building good research habits, and becoming a researcher. It consists of two 2-unit courses: 290a (spring of G1 year) focuses on adapting to a research group, developing strong reading and writing habits, and preparing students for...
