MIT Subject Listing & Schedule
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5.373 Synthesis of Boron Heterocycles

(); partial term
Prereq: 5.03 and 5.363
Units: 1-2-1
Safety lecture mandatory. MW sections on 9/4 at 1 pm. TR sections on 9/5 at 1 pm. See course for the link. Meets 10/7 to 10/31. Lecture: TR12 (2-105) Lab: MW1-5 (12-5170B) or TR1-5 (12-5170B)

Experimental module focused on the synthesis and characterization of boron heterocycles, which are used as chemical synthons for metal complexes, small-molecule activation (e.g., carbon dioxide), catalysis mediators, components of optoelectronic materials, monomers for polymeric systems, and molecular building blocks for photochemistry. Covers techniques such as glovebox and Schlenk line methods for synthesis in the absence of oxygen and water; ligand effects, filtration, reaction mixture concentration, and recrystallization under an inert atmosphere. Characterization methods include proton and boron NMR spectroscopy, UV-Vis spectroscopy, and fluorescence measurements.
R. Gilliard
No textbook information available

IDS.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)

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 available

Total units: 28

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TIME Mon Tue Wed Thu Fri KEY  5.373  IDS.437  15.071 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