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The Yale School of Engineering and the Yale School of Medicine are hosting information sessions for their innovative one-year joint master’s degree in Personalized Medicine & Applied Engineering. Please share the information below to your students, advising programs, and student organizations.This interdisciplinary program equips students with cutting edge skills at the intersection of medicine, engineering, and computer science. Participants gain hands-on experience designing 3D solutions for personalized healthcare using technologies such as 3D imaging and printing, artificial intelligence and machine learning, robotics and computer-assisted navigation, and augmented and virtual reality (AR/VR). Graduates will be prepared to develop customized medical interventions that enhance patient outcomes and drive innovation in clinical practice.
Who Should Apply:
Pre-med and medical students, biomedical/mechanical/electrical engineering and computer science majors passionate about healthcare innovation Program Highlights: More details are on our website seas.yale.edu/pmae.
- Interdisciplinary Courses: Co-taught by faculty from both Yale Engineering and Yale Medicine
- Thesis Projects: Applied research in fields such as orthopedics, cardiovascular medicine, oncology, tissue engineering, sports medicine, radiation oncology, and machine learning
- Clinical Immersion: Shadowing opportunities across 25+ specialties, including surgery, radiology, neurology, cardiology, anesthesiology, and pediatrics
- Customized Curriculum: Flexible course selection tailored to each student’s academic background and career goals
Applications Open: September 15
Join an upcoming informational Zoom Session (registration link):
- Tuesday, Sept. 30, 6:00 pm EDT https://yale.zoom.us/j/97584615181?from=addon
- Friday, Oct. 24, 1:30 pm EDT https://yale.zoom.us/j/93666356156?from=addon
- Tuesday, Oct. 28, 6:00 pm EDT https://yale.zoom.us/j/98100560693?from=addon
- Wednesday, Nov. 19, 7:00 pm EST https://yale.zoom.us/j/94992022856?from=addon
- Wednesday, Dec. 3, 7:00 pm EST https://yale.zoom.us/j/96348713738?from=addon
For questions, please contact:
Dr. Daniel Wiznia (daniel.wiznia@yale.edu) and Dr. Steven Tommasini (steven.tommasini@yale.edu).
More information and application details can be found on our website.
In 2022, the New Yorker ran the above cartoon. At first, I thought it referred to our exams.
The midterm will be Thursday October 9 at 7pm in DL 220. It will be a 2 hour hand written exam. No computers. No notes. No books. No kidding. Students registered with Student Accessbility Services will take the exam in room ML 211, across the street.
Here is a practice exam. (solutions). Practice UNIX script. (solutions). mt.py code for practice midterm
Here is a great resource to practice regular expressions https://regex101.com/ Also, see www.regular-expressions.info which has a tutorial as well as useful examples, including HTML tags, email addresss, IP addresses, dates, credit cards, and lots more.
Also, the paper Music and Computation, discussed below, is also in scope, up to but not including Music. There will be true/false questions about binary encodings of numbers, text, images, and sound. No questions about music.
Here is the document without the music section: Binary Encoding. Try this prompt with your favorite AI bot: Using the document found at https://zoo.cs.yale.edu/classes/cs200/lectures/BinaryEncoding.pdf please generate 20 sample true or false exam questions. Note: today the bots complain that they cannot load web files. Let me know if you find a way around this. In the mean time, I sent you 100 sample T/F questions on Friday.
hw2 review. - biggest file. Note from Ed Discussions:
You may use os.stat() to get the size of a file or directory. It
returns a tuple, the 7th element of which is size, that is,
element[6]:
bs5@giraffe:~/cs200/www/lectures/newdir$ pwd
/home/accts/sbs5/cs200/www/lectures/newdir
sbs5@giraffe:~/cs200/www/lectures/newdir$ ls -l
total 0
-rwxr--r-x 1 sbs5 faculty 6 Sep 22 15:38 goodbye
-rw-rw-r-- 1 sbs5 cs200ta 6 Nov 1 2023 hello
-rw-r--r-- 1 sbs5 cs200ta 12 Sep 25 08:35 high
sbs5@giraffe:~/cs200/www/lectures/newdir$ stat high
File: high
Size: 12 Blocks: 0 IO Block: 65536 regular file
Device: 0,57 Inode: 3763202446 Links: 1
Access: (0644/-rw-r--r--) Uid: (10379474/ sbs5) Gid: (63533/ cs200ta)
Access: 2025-09-25 08:35:15.879848000 -0400
Modify: 2025-09-25 08:35:30.394796000 -0400
Change: 2025-09-25 08:35:30.394796000 -0400
Birth: -
bs5@giraffe:~/cs200/www/lectures/newdir$ p
Python 3.12.3 (main, Aug 14 2025, 17:47:21) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> os.listdir()
['hello', 'goodbye', 'high']
>>> os.stat('high')
os.stat_result(st_mode=33188, st_ino=3763202446, st_dev=57,
st_nlink=1, st_uid=\ 10379474, st_gid=63533, st_size=12,
st_atime=1758803715, st_mtime=1758803730, s\ t_ctime=1758803730)
>>> os.stat('high')[6]
12
Here is how I originally solved the problem. This is the current staff solution. Don't do this,
but figure out how it works.
def biggest_file(dir):
tempfile = '/tmp/biggest'
cmd = 'ls -l ' + dir + " > " + tempfile
# print( "Command to run:", cmd )
status = os.system(cmd)
# print ("status: " + str(status))
if status:
# print ( "Error in executing command: " + cmd)
return '*** error reading ' + dir
size = 0
name = ''
for line in open(tempfile, 'r'):
fields = line.split()
# print (fields)
if len(fields) == 9:
s = fields[4]
n = fields[-1]
if int(s) > size:
size = int(s)
name = n
os.remove(tempfile)
return ( name )