Home
| Subject Search
| Help
| Symbols Help
| Pre-Reg Help
| Final Exam Schedule
| My Selections
|
15.071 The Analytics Edge
(, )
Prereq: 15.060
Units: 4-0-8
Credit cannot also be received for 15.0711, 15.072
You must participate in Sloan's Course Bidding to take this subject.
Lecture: MW8.30-10 (E51-345) Recitation: F10 (E51-345)
Develops models and tools of data analytics that are used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, criminal justice, the internet, and beyond. Covers analytics methods such as linear regression, logistic regression, classification trees, random forests, neural networks, text analytics, social network analysis, time series modeling, clustering, and optimization. Uses mostly R programming language and some work in Jupyter notebooks. Includes team project. Meets with 15.0711 when offered concurrently. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
Fall: E. Yao
Spring: R. Freund, S. Gupta
No textbook information availableIDS.437[J] Technology, Globalization, and Sustainable Development
()
(Same subject as 1.813[J], 11.466[J], 15.657[J])
Prereq: Permission of instructor
Units: 3-0-9
Lecture: W EVE (4-6.30 PM) (E51-376)
Investigates sustainable development, taking a broad view to include not only a healthy economic base, but also a sound environment, stable and rewarding employment, adequate purchasing power and earning capacity, distributional equity, national self-reliance, and maintenance of cultural integrity. Explores national, multinational, and international political and legal mechanisms to further sustainable development through transformation of the industrial state. Addresses the importance of technological innovation and the financial crisis of 2008 and the emergence of the Covid-19 pandemic, Russia's invasion of Ukraine, and inflation, as well as governmental interventions to reduce inequality.
N. Ashford
Textbooks (Fall 2024)Total units: 24
You may remove a subject from your selection by clicking on the button in the description.
Or, you may delete your entire selection by pushing the following button:Examine your course selections. When ready, click the pre-registration button below to submit them to pre-registration. (Certificates are required.)
A note on the schedule: Lecture options are shown, not labs or recitations.
A text chart may show up better for printing.
TIME Mon Tue Wed Thu Fri KEY 7 am 8 am 9 am 10 am 11 am 12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm 7 pm 8 pm 9 pm