Milstein Hospitalist (Attending service)
Milstein Hospitalist Sub
- Department: Medicine
- 0 points
OTOLARYNGOLOGY PRECEPTORSHIP
- Department: Otolaryngology / Head and Neck Surgery
- 0 points
Professional Development/Internship Requ
PD/Internship Requirement
- Department: International and Public Affairs
- 0 points
Big Data, Machine Learning, and their Re
Big Data & Life Applicati
The exponential growth of data, advances in cloud computing, and machine learning have transformed every industry from retail and banking to healthcare and education. This introductory-level course enables participants to navigate the new reality of the “data economy,” in which data is the “the new oil”—a ubiquitous and invaluable asset. We focus on the strategic use of data and innovative technologies to derive actionable business insights. Participants develop a strong foundation in data-driven thinking for solving real-world problems. They are introduced to a variety of popular technologies for data analytics and gain a familiarity with programming in R, a software environment for statistical computing and graphics. Much of the in-class work involves working with R. Students learn how to import, export, manipulate, transform, and visualize data; use statistical summaries; and run and evaluate machine learning models. From the start of the course participants are immersed in the world of data: they are introduced to the concepts of big data, artificial intelligence, the internet of things, cloud computing, and data ethics in the context of real-world business scenarios. Through hands-on experience and practice they study data harvesting and exploration, as well as the basics of data visualization. After they get comfortable with data manipulation and transformation, they gain familiarity with statistical frameworks and methods designed to extract practical insights from data. Participants learn and implement common machine-learning techniques and develop and evaluate analytical solutions. Toward the conclusion of the course, students work in groups on a final project and presentation, thereby (a) solidify their newly acquired analytical and programming skills and (b) practicing storytelling with data. Participants should expect a dynamic and interactive environment: hands-on exercises, teamwork, continuous in-class dialogue, demonstrations, and interactive presentations. The course features real-world applications of data analytics across industries and challenges students to think in terms of the business value of data and machine learning.
Participants are required to bring Mac or PC laptops.
Introduction to AI with Python
INTRO TO ARTIF INTEL W. P
From healthcare, marketing, and HR to finance and manufacturing, AI is changing the way we live and work. As a consequence, the demand for expertise in AI and machine learning is growing rapidly. This course will enable students to take the first step toward building AI driven applications. The course’s main topics are: 1. What machine learning, deep learning and AI are.
2. When machine learning is the right tool for AI.
3. How to select the right machine learning algorithm for your AI scenario.
4. How to use Python libraries to build AI applications.
5. How to use Automated Machine Learning and Python to build AI applications.
Real-world AI use cases and applications.
This course aims at teaching the most important concepts of the machine learning workflow that data scientists follow to build end-to-end data science solutions. We assume that students have basic knowledge of linear algebra and calculus. Students will gain exposure to the theory behind classification, regression, forecasting, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own. The course includes asynchronous work, which students are expected to complete between class sessions.
- Department: Summer High School Program
- S 10 a.m.-noon
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Instructor:
Francesca Lazzeri
Info - 0 points
Drawing Intensive: Developing a Portfoli
DRAWING INTENSIVE: PORTFO
Studio arts courses are offered in conjunction with Columbia University's School of the Arts.
This week-long class focuses on preparing the drawing portion of a fine art portfolio application for college submissions. As the week progresses, each student receives an in-depth critique from the instructor of their current work and of their plan for their portfolio. The course is focused on completing several large projects so as to showcase observational drawing skills, ranging from still life to architectural space to self-portraiture, as well as conceptual skills.
The course combines video demonstrations of drawing techniques, individual conferences with the instructor as well as online group critiques, and virtual studio visits with professional artists. Critical issues in art are addressed once a week through group writing prompts and online discussion, so as to generate meaningful debates as a context for studio work. An online demonstration of how to professionally document and edit work in Photoshop for a digital application concludes the week.
Participants are encouraged to contextualize their creative process through language and writing, with assigned creative writing prompts, short presentations, and an ongoing sketchbook practice. A final blog houses a virtual exhibit and work is shared regularly within the community on a social media platform.
- Department: Summer High School Program
- U 10 a.m.-noon
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Instructor:
Ioana I Manolache
Info - 0 points
Neuroscience of Psychiatric Disorders
NEUROSCI OF PSYCH DISORDE
Neuroscience is the study of the neural processes and mechanisms underlying human function and behavior. It is an interdisciplinary field that combines the ideas explored in the field of psychology with the science that governs the brain and body. In order to understand the etiology of disorders such as addiction, post-traumatic stress disorder, and schizophrenia, it is crucial to understand how molecular, cellular, and endocrine changes contribute to disease progression.
In this course, students learn about how the laws of neurons and neurotransmitters direct brain processes. Class time is devoted to interactive lectures, discussions, and assignments designed to help students understand the neuroscience of addiction, major depressive disorder, post-traumatic stress disorder, and schizophrenia. Outside of class, students explore case studies of neuropsychiatric disorders so as to fully understand the extent of debilitation and possibilities for recovery.
- Department: Summer High School Program
- S 10 a.m.-noon
- S 1 p.m.-3 p.m.
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Instructor:
Hameda Khandaker
Info - 0 points
Painting Intensive
PAINTING INTENSIVE
Studio arts courses are offered in conjunction with Columbia University's School of the Arts.
In this course aimed at introducing students to basic acrylic painting techniques, each day the instructor introduces a new assignment through a live tutorial. Each assignment is complemented by a short art history lecture, which aids the students in thinking about content alongside studio progress. Students receive guidance from the instructor as they work from home on their paintings.
At the end of each day, students present their results to the class; the online platform serves as a virtual group crit. The works are reviewed by the instructor prior to the next session. Each student receives individualized, specific comments as to how to proceed with their work.
Participants also learn how to prepare a final portfolio for college applications.
- Department: Summer High School Program
- U 10 a.m.-noon
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Instructor:
Miguel Cardenas
CULPA: 4
Info
- 0 points