DSI Call for Research Grants in Data Science

January 28, 2020 by The Data Science Institute at Bar-Ilan University

open research assistant position

December 10, 2019December 8, 2019 by The Data Science Institute at Bar-Ilan University

המשרה אוישה!

לפרויקט סדר יום פוליטי בישראל הממומן על ידי הקרן הישראלית למדע דרוש עוזר מחקר בהיקף של 20 שעות חודשיות. העבודה דורשת הורדת נתונים משרתים ממשלתתיים scraping, סידור קבצי נתונים ממוחשב והמרת קבצים .

~~דרישות התפקיד: ידע בתיכנות בפייטון ו R וכן באקסל~~

~~תחילת העבודה: מיידית~~

~~לפרטים נא לפנות לדר’ אילנה שפייזמן ilana.shpaizman@biu.ac.il~~

Student position at Knesset

November 18, 2019 by The Data Science Institute at Bar-Ilan University

מודעת גיוס סטודנט

Brain Dynamic Lab – open positions

November 14, 2019November 14, 2019 by The Data Science Institute at Bar-Ilan University

The Human Brain Dynamic Lab

Dr. Elana Zion Golumbic

www.golumbiclab.org

דרושים סטודנטים מצטיינים בעלי אורייטנציה חישובית חזקה
לפרוייקט חדש המשלב מדעי המוח-הנדסה
של פיתוח ממשק מוח-מכונה לשיפור יכולות מיקוד קשב

תיאור הפרוייקט: הפרוייקט הינו שיתוף פעולה בין חוקרים ממדעי המוח (דר׳ אילנה ציון גולומביק) והנדסה (פרופ׳ שרון גנות ופרופ׳ יעקב גולדברגר), שמטרתו פיתוח עזר שמיעה חכם, המבוסס ממשק מוח-מכונה, בעל יכולות מיקוד קשב לסיוע בהקשבה בסביבות רועשות. הפרוייקט יעשה שימוש ברישום גלי מוח (EEG) ותנועות עיניים, אלגוריתמים מתקדמים להפרדת אותות ולמידת עומק.
דרישות: סטודנטים מצטיינים לתואר שני או דוקטורט במדעי המוח, הנדסה או מדעי המחשב.
פתוח גם לסטודנטים מצטיינים בשנה האחרונה של התואר הראשון במדעי המוח/הנדסה הרואים את עתידם במחקר.
למעוניינים, נא לשלוח קורות חיים ופסקה קצרה על הנסיון המחקרי שלכם ל:
דר׳ אילנה ציון גולומביק elana.zion-golumbic@biu.ac.il
פרופ׳ שרון גנות: Sharon.Gannot@biu.ac.il
פרופ׳ יעקב גולדברגר: Jacob.Goldberger@biu.ac.il

משרת סטודנט

November 12, 2019 by The Data Science Institute at Bar-Ilan University

לקליניקה של המחלקה לפסיכולוגיה דרוש/ה
במעבדה לחקר פסיכותרפיה מתקיים פרויקט ייחודי בחזית המחקר עובד/ת לסיוע בניהול ותפעול מערכתחכמה לאיסוף נתונים.

במסגרת פרויקט זה נערך מעקב מחקרי שוטף אחר טיפולים המתבצעים בקליניקה לשירות הקהילה במטרה לקדם את האפקטיביות של הטיפולים. המחקר מנוהל על ידי מערכת שתוכנתה במיוחד לצרכי הקליניקה והמחקר בה שנמצאת כיום בשלבי פיתוח מתקדמים.
דרוש/ה סטודנט בעל יכולות טכניות ותכנותיות גבוהות ולמידה עצמאית.
התפקיד כולל עבודה צמודה עם מפתחי התכנה לשם היכרות עם המערכת ובמטרה לסייע בפיתוח ובפתרון תקלות.
דרישות התפקיד:
חובה – OFFICE
חובה – היכרות עם מערכות מבוססות Linux
חובה – הבנה טכנית טובה של חומרת מחשב ותכנה
רשות – הכרה של תוכנות סטטיסטיקה
רשות – יכולות בתכנות (מטלב, C)
רשות – הבנה באיסוף ופיענוח אותות פיזיולוגיים

נדרשת זמינות גבוהה
תנאים טובים למתאימים
להגשת מועמדות ולפרטים נוספים יש לשלוח קורות חיים למייל: biuresearchclinic@gmail.com

משרת סטודנט לעבודה לפי שעות

November 12, 2019September 8, 2019 by The Data Science Institute at Bar-Ilan University

המשרה אוישה!

לפרוייקט המחקר “על מה מדינות מדברות?” (במימון ISF – הקרן הלאומית למדע) שעוסק בניתוח טקסטואלי ממוחשב דרוש/ה סטודנט/ית לעבודה לפי שעות (היקף של רבע-שליש משרה לאורך השנה האקדמית). עיקר העבודה הינה ללוות בהיבט תכנוני את הפרויקט על חלקיו שונים ולסייע בכתיבת הקוד לניתוח הטקסטים בהתבסס על גישות שונות לניתוח טקסטואלי ממוחשב.
דרש ידע בתכנות R או פייטון ורקע בניתוח ועיבוד טקסטואלי/גישות NLP.
תחילת עבודה – 1.11.2019 . להגשת מועמדות ופרטים נוספים, אנא פנו לד”ר מור מיטרני mor.mitrani@biu.ac.il

Data Science Courses, Bar-Ilan University

August 25, 2019August 6, 2019 by The Data Science Institute at Bar-Ilan University

This table includes courses given at Bar-Ilan that may be relevant to students interested in Data Science.
Note: full and accurate course details should be taken from Bar-Ilan official course catalog. We’ll do our best to keep this table updated.

(legend – see below table)

Data Science Related Courses at Bar-Ilan University
Course #	Course Name	Department	Category	Target Audience	Points	Type	Semester	Degree	Given in TASHAPB
13619	Digital Humanities and the Analysis of Hebrew Texts	Jewish Literature	NLP/Text	Exposure	2	Lecture	Annual	Both	y
272000	Introduction to Programming using python	Brain Science	Programming	Core	1	Lecture	B	Undergrad	y
27208	Introduction to Probability	Brain Science	Statistics/Probablity	Core	1	Lecture	A	Grad	y
27213	Introduction to Statistics	Brain Science	Statistics/Probablity	Core	1.5	Lecture	B	Undergrad	y
27305	Signal Processing	Brain Science	Signal Processing	Core	1	Lecture	B	Undergrad	y
27436	Neuronal Network	Brain Science	ML/DL/NN	Core	1	Lecture	A	Grad	y
27437	Information Theory and Learning Methods	Brain Science	ML/DL/NN	Core	1.5	Lecture	B	Undergrad	y
275020	Data Science Applications in Neuroscience	Brain Science	ML/DL/NN	Applied	1	Workshop	A	Grad	y
275021	Data Science Applications in Neuroscience	Brain Science	ML/DL/NN	Applied	1	Workshop	A	Grad	y
275027	Introduction to Programming with Python	Brain Science	Programming	Applied	1	Lecture	A	Grad	y
27504	Theories on Nerve Networks and Machine Learning	Brain Science	ML/DL/NN	Core	2	Lecture	A	Undergrad
27505	Signal and Data Analysis in Neuroscience	Brain Science	Signal Processing	Core	2	Lecture	B	Grad	y
278237	Artificial intelligence: from humanoids to swarms of thinking machines	STS	AI	Exposure	2	Lecture	Annual	Undergrad	y
35599	Data Science practicum	Information Science	Data Mining / Visualization	Applied	1	Lecture	A	Both	y
35603	Algorithms I	Information Science	Algorithms/Data Structures	Applied	2	Lecture	A	Undergrad	y
35605	Big Data	Information Science	DB/Big Data	Applied	1	Lecture	A	Both	y
35615	Programming Basics	Information Science	Programming	Exposure	1	Lecture	B	Undergrad	y
35616	Advanced programming	Information Science	Programming	Applied	1	Lecture	B	Undergrad	y
35617	Advanced data analysis	Information Science	Data Mining / Visualization	Applied	1	Lecture	A	Both	y
35625	Big Data applications	Information Science	DB/Big Data	Applied	1	Lecture	B	Both	y
35626	Introduction to Data Science	Information Science	ML/DL/NN	Applied	1.5	Lecture	A	Both
35633	Data Science introduction	Information Science	ML/DL/NN	Applied	1	Lecture	B	Both	y
35712	Digital Humanities	Information Science	Digital Humanities	Applied	1	Lecture	A	Both	y
35728	Introduction to Databases	Information Science	DB/Big Data	Applied	1	Lecture	A	Both	y
35733	Introduction to Databases	Information Science	DB/Big Data	Applied	1	Lecture	B	Both	y
35809	Geographic Information Systems	Information Science	GIS	Applied	1	Lecture	B	Grad	y
35810	Introduction to Databases	Information Science	DB/Big Data	Applied	1	Lecture	B	Grad
35819	Medical Informatics	Information Science	Medical	Applied	1	Lecture	B	Grad	y
35858	Data Visualization	Information Science	Data Mining / Visualization	Applied	1	Lecture	B	Grad	y
35867	Introduction to Programming - Python	Information Science	Programming	Applied	1	Lecture	B	Grad	y
35869	Advanced Python	Information Science	Programming	Applied	1	Lecture	A	Grad	y
35879	The Semantic Web	Information Science	Digital Humanities	Applied	1	Lecture	A	Grad	y
35880	Algorithms 2	Information Science	Algorithms/Data Structures	Applied	1	Lecture	A	Grad
35887	Machine Learning	Information Science	ML/DL/NN	Applied	1	Lecture	B	Grad	y
35890	Introduction to digitization of textual and graphic information	Information Science	Digital Humanities	Applied	1	Lecture	B	Grad	y
35954	Selected issues in Digital humanities	Information Science	Digital Humanities	Exposure	1	Seminar	B	Grad	y
35955	Semantic web applications for digital humanities	Information Science	Digital Humanities	Applied	1	Seminar	B	Grad	y
55002	Intro to Statistics I	Management	Statistics/Probablity	Applied	1	Lecture	A	Undergrad	y
55003	Intro to Statistics II	Management	Statistics/Probablity	Applied	1	Lecture	B	Undergrad	y
55006	Introduction to Probability	Management	Statistics/Probablity	Applied	1	Lecture	B	Both	y
55089	Service Management	Management	DB/Big Data	Applied	1	Lecture	B	Both	y
55505	Logistic Information System Management	Management	DB/Big Data	Applied	1	Lecture	A	Both	y
55703	Information System Management in Industry	Management	DB/Big Data	Applied	1	Lecture	B	Both	y
60066	Intro to R	Psychology	Programming	Applied	1	Lecture	A	Grad	y
60067	Multilevel Modeling and Dyadic Analysis	Psychology	Data Mining / Visualization	Applied	1	Lecture	B	Grad	y
66153	Introduction to Statistics I	Economics	Statistics/Probablity	Applied	1	Lecture	A	Undergrad	y
66154	Introduction to Statistics II	Economics	Statistics/Probablity	Applied	1	Lecture	B	Both	y
66862	Python for Economists Introductory	Economics	Programming	Applied	0.5	Lecture	A	Undergrad	y
66863		Economics	Programming	Applied	0.5	Lecture	B	Undergrad	y
66880	Econometrics of Time Series	Economics	Finance/Econometrics	Applied	1	Lecture	B	Undergrad
70647	Text Mining	Buisness Administration	NLP/Text	Applied	1	Lecture	B	Physician Programming Certificate Studies	y
70648	Big data applications in Marketing	Buisness Administration	BI/User Behavior	Exposure	1	Lecture	A	Both	y
70651	big data management technics	Buisness Administration	DB/Big Data	Applied	1	Lecture	B	Both	y
70673	Visualization	Buisness Administration	Data Mining / Visualization	Applied	1	Lecture	A	Both	y
70677	Global Information Systems (GIS)	Buisness Administration	GIS	Applied	1	Lecture	B	Both
70680	Data Mining with R	Buisness Administration	Data Mining / Visualization	Applied	1	Lecture	A	Both	y
70784	Data Warehousing	Buisness Administration	DB/Big Data	Applied	1	Lecture	B	Both
70798	Storage Systems	Buisness Administration	DB/Big Data	Applied	1	Lecture	B	Both	y
70833	Introduced to Artificial Intelligence	Buisness Administration	AI	Applied	1	Lecture	B	Grad	y
70949	Data Mining and Information Disclosure	Buisness Administration	Data Mining / Visualization	Applied	1	Lecture	B	Grad	y
75145	Computer Applications in Documentation and Study of Place	Geography	GIS	Applied	1	Lecture	B	Undergrad
75335	Advanced GIS A	Geography	GIS	Applied	2	Lecture	A	Undergrad
75373	Introduction to GIS	Geography	GIS	Applied	1.5	Lecture	A	Undergrad	y
75967	Python Scripting for GIS	Geography	GIS	Applied	1.5	Lecture	B	Grad	y
80235	*Introduction to Programming using python	Life	Programming	Applied	1	Lecture	A	Undergrad
80303	Advanced Methods in Medical Image Processing	Life	Medical	Applied	1	Lecture	B	Both	y
80376	Matlab for Biologists	Life	Programming	Applied	1	Lecture	A	Both	y
80392	Computational Genomics	Life	Bio	Applied	1	Lecture	A	Both	y
80397	Statistics and Data Science	Life	Data Mining / Visualization	Applied	0.5	Lecture	A	Both
80512	Computational Biology	Life	Bio	Applied	1	Lecture	B	Both	y
80513	Bioinformatics	Life	Bio	Applied	1	Lecture	B	Both	y
80515	Introduction to Computing	Life	Programming	Applied	1.5	Lecture	A	Undergrad	y
80534	Biostatistics and Introduction to Clinical Trails	Life	Bio	Applied	1	Lecture	B	Both	y
80586	Machine learning and applications for biological data analysis	Life	Bio	Applied	1	Lecture	B	Both	y
80665	Medical Informatics	Life	Medical	Applied	1	Lecture	B	Both	y
80672	Advanced Tools to Genome Analysis	Life	Bio	Applied	1	Lecture	A	Both
80675	Clinical Informatics - Clinical Data Mining	Life	Bio	Applied	0.5	Lecture	A	Both
80724	Python Programming for Scientific Research	Life	Bio	Applied	1	Lecture	B	Both
80725	Deep Learning and Artificial Intelligence in Medicine	Life	Medical	Applied	1	Lecture	B	Both
81936	Digital Image Processing	Medicine	Image	Applied	1	Lecture	B	Grad	y
81958	Text Mining for Cancer Research	Medicine	Medical	Applied	1	Lecture	A	Grad	y
83003	MATLAB programming and applications	Engineering	Programming	Applied		Lab	B	Undergrad	y
83011	Workshop in Python Programming	Engineering	Programming	Core	1	Lecture	B	Both	y
83214	Tools for Numerical Analysis	Engineering	Math	Core	1	Lecture	B	Undergrad	y
83216	Introduction to Statistics and Probability	Engineering	Statistics/Probablity	Core	1.5	Lecture	A	Undergrad	y
83223	Object Oriented Programming	Engineering	Programming	Core	1	Lecture	A	Undergrad	y
83224	Data Structures and Algorithms II	Engineering	Algorithms/Data Structures	Core	1.5	Lecture	B	Undergrad	y
83245	Signals and Systems	Engineering	Signal Processing	Core	1.5	Lecture	B	Undergrad	y
83302	Random Signals and Noise	Engineering	Signal Processing	Core	1.5	Lecture	A	Undergrad	y
83320	Digital Signal Processing I	Engineering	Signal Processing	Core	1.5	Lecture	B	Undergrad	y
83321	Statistical Algorithms for Signal Processing	Engineering	Signal Processing	Core	1.5	Lecture	B	Undergrad	y
83412	Genetics and Molecular Biology	Engineering	Bio	Applied	1	Lecture	B	Undergrad	y
83414	Biological data science	Engineering	Bio	Applied	1.5	Lecture	B	Undergrad	y
83420	Statistical Analysis of Data	Engineering	Statistics/Probablity	Core	1.5	Lecture	B	Undergrad	y
83456	Design and Analysis of Algorithms	Engineering	Algorithms/Data Structures	Core	1	Lecture	A	Undergrad	y
83459	Software Engineering	Engineering	Programming	Core	1	Lecture	B	Undergrad	y
83620	Information Theory	Engineering	Math	Core	1	Lecture	A	Both	y
83622	Introduction to Machine Learning	Engineering	ML/DL/NN	Core	1	Lecture	B	Both	y
83623	Models and Mathematical Analysis of Networks	Engineering	Signal Processing	Core	1	Lecture	A	Both	y
83624	Digital Signal Processing II	Engineering	Signal Processing	Core	1.5	Lecture	A	Both	y
83629	Digital Image Processing	Engineering	Image	Core	1	Lecture	B	Both	y
83633	Digital Geometric Processing II	Engineering	Bio	Applied	1	Lecture	A	Both	y
83635	Reinforcement-based learning	Engineering	ML/DL/NN	Core	1	Lecture	A	Both	y
83641	Shape Optimization & Understanding	Engineering	Geometry	Core	1	Lecture	B	Both
83643	Machine learning theory	Engineering	ML/DL/NN	Core	1	Lecture	A	Both	y
83656	Digital Processing of Geometry	Engineering	Geometry	Core	1	Lecture	B	Both	y
83665	Computational Biology	Engineering	Bio	Applied	1	Lecture	A	Both	y
83666	Control ofTheory for Biological Systems	Engineering	Bio	Applied	1	Lecture	A	Both	y
83674	Quantum machine learning	Engineering	Quantom	Core	1	Lecture	B	Both	y
83676	Data Mining	Engineering	Data Mining / Visualization	Applied	1	Lecture	B	Both	y
83692	Social networks	Engineering	Networks	Core	1	Lecture	B	Undergrad	y
83805	Continuous and Combinatorial Optimization	Engineering	Optimization	Core	1	Lecture	A	Teacher Certification	y
83806	Random Processes	Engineering	Statistics/Probablity	Core	1.5	Lecture	B	Grad	y
83807	Quantum Computing	Engineering	Quantom	Core	1.5	Lecture	A	Grad	y
83819	Unsupervised Learning	Engineering	ML/DL/NN	Core	1	Lecture	B	Both	y
83841	Statistical Machine Learning	Engineering	ML/DL/NN	Core	1	Lecture	A	Grad	y
83843	deep generative models	Engineering	ML/DL/NN	Core	1	Lecture	A	Grad	y
83867	Probabilistic Methods and Algorithms	Engineering	Algorithms/Data Structures	Core	1	Lecture	B	Grad
83876	Decision Support Systems in medical imaging	Engineering	Medical	Applied	1	Lecture	B	Grad	y
83880	Seminar/Advanced Topics in Signal Processing	Engineering	Signal Processing	Core	1	Lecture	B	Grad	y
83881	Digital speech processing	Engineering	Speech	Core	1	Lecture	B	Grad	y
83882	Deep Learning	Engineering	ML/DL/NN	Core	1	Lecture	A	Grad	y
83887	Spatial Signal Processing	Engineering	Signal Processing	Core	1	Lecture	B	Grad
83888	Computer Vision	Engineering	Image	Core	1	Lecture	B	Grad	y
83889	Advanced Topics in Statistical Signal Processing	Engineering	Signal Processing	Core	1	Lecture	A	Grad	y
83900	Discovery Theory	Engineering	Math	Core	1	Lecture	A	Grad	y
83901	Introduction to Data Science with Python	Engineering	ML/DL/NN	Applied	1	Lecture	B	Grad
83905	Seminar/Advanced Topics in Machine Learning and Data Processing	Engineering	ML/DL/NN	Core	1	Lecture	A	Grad	y
83906	Independence-based Blind Source Separation	Engineering	Statistics/Probablity	Core		#N/A	#N/A	Grad	y
83907	Advanced topics in deep learning	Engineering	ML/DL/NN	Core	1	Lecture	B	Grad	y
83908	Advanced topics in differential privacy	Engineering	Privacy	Core	1	Lecture	B	Grad	y
83920	Parallel Computation using a GPU	Engineering	Algorithms/Data Structures	Core	1	Lecture	A	Grad
83979	Statistics and Data Analysis	Engineering	Data Mining / Visualization	Applied	1	Lecture	B	Grad	y
83983	Process Modeling and Mining	Engineering	Data Mining / Visualization	Core	1	Lecture	B	Both	y
84107	Statistics and Probability for Chemists (SPC)	Chemistry	Statistics/Probablity	Applied	1	Lecture	A	Undergrad	y
84190	Introduction to Computers in Chemistry	Chemistry	Programming	Applied	1	Lecture	B	Undergrad
84291	Introduction to programming in Python for chemistry	Chemistry	Programming	Applied	1	Lecture	B	Both	y
84328	Computational Chemistry	Chemistry	Bio	Applied	1	Lecture	B	Undergrad	y
84846	Introduction to Cheminformatics	Chemistry	Bio	Applied	1	Lecture	A	Grad	y
86156	Probability and Statistics for Physicists	Physics	Statistics/Probablity	Applied	1.5	Lecture	B	Undergrad	y
86164	Introduction to Computers in Physics	Physics	Programming	Applied	1	Lecture	A	Undergrad	y
86605	Data science for physicists	Physics	ML/DL/NN	Applied	1.5	Lecture	A	Both	y
88151	Computer Applications in Math	Math	Programming	Core	1	Lecture	B	Undergrad
88153	Introduction to Mathematical Programming	Math	Programming	Core	1	Lecture	B	Undergrad
88165	Introduction to Probabilitiy and Statistics	Math	Statistics/Probablity	Core	2	Lecture	B	Undergrad	y
88170	Introduction to Computing	Math	Programming	Core	1.5	Lecture	A	Undergrad	y
88174	Introduction to Object Oriented Programming	Math	Programming	Core	1	Lecture	B	Undergrad	y
88263	Introduction to Statistics	Math	Statistics/Probablity	Core	2	Lecture	A	Grad	y
88280	Data Structures and Algorithms	Math	Algorithms/Data Structures	Core	2	Lecture	A	Grad	y
88584	Image Processing	Math	Image	Core	1	Lecture	A	Both	y
88615	Introduction to Probabilitiy and Statistics	Math	Statistics/Probablity	Core	1	Lecture	B	Both
886210	Risk management and time series	Math	Finance/Econometrics	Core	1	Lecture	Summer	Both
88622	Introduction to Probabilitiy and Statistics	Math	Statistics/Probablity	Core	1.5	Lecture	A	Grad	y
88623	Probability and Stochastic Processes	Math	Statistics/Probablity	Core	1.5	Lecture	B	Grad	y
88624	Analysis of Statistical Data	Math	Data Mining / Visualization	Core	1	Lecture	Summer	Both	y
88631	Introduction to Probabilitiy and Statistics	Math	Statistics/Probablity	Core	0.5	Lecture	A	Both	y
886788	Data Science Seminar	Math	ML/DL/NN	Core	1	Seminar	B	Grad	y
886960	Introduction to Programming using python	Math	Programming	Applied	1	Lecture	B	Undergrad	y
886961	Python Programming Workshop	Math	Programming	Applied	1	Lecture	A	Both	y
886970	Data Processing, Analysis and Visualization	Math	Data Mining / Visualization	Applied	1	Lecture	B	Undergrad	y
886971	Applied Machine Learning	Math	ML/DL/NN	Applied	1	Lecture	A	Both	y
886972	Big Data	Math	DB/Big Data	Applied	1	Lecture	A	Both	y
886980	Networks and Complexity in the Real World	Math	Networks	Applied	1	Lecture	B	Grad	y
88760	Introduction to Statistics	Math	Statistics/Probablity	Core	1	Lecture	A	Grad	y
88761	Introduction to Statistics II	Math	Statistics/Probablity	Core	1	Lecture	B	Grad	y
88775	Statistical Theory	Math	Statistical Theory	Core	1.5	Lecture	A	Grad	y
88778	Network Science	Math	Networks	Core	1.5	Lecture	B	Grad
88779	Random graphs and networks	Math	Networks	Core		Lecture	B	Grad
88780	Supervised and Unsupervised Learning	Math	ML/DL/NN	Core	1	Lecture	A	Grad	y
887810	Introduction to artificial intelligence	Math	AI	Core	1	Lecture	B	Both	y
88784	Optimization	Math	Optimization	Core	1.5	Lecture	A	Both	y
88962	Probability and Stochastic Processes	Math	Statistics/Probablity	Core	1.5	Lecture	A	Undergrad	y
89110	Introduction to Computer Science	Computer Science	Programming	Core	1.5	Lecture	A	Undergrad	y
89111	Introduction to Object Oriented Programming	Computer Science	Programming	Core	1	Lecture	B	Grad	y
89120	Data Structures	Computer Science	Algorithms/Data Structures	Core	1	Lecture	B	Both	y
89210	Algorithmic Programming I	Computer Science	Algorithms/Data Structures	Core	1	Lecture	A	Both	y
89211	Algorithmic Programming II	Computer Science	Algorithms/Data Structures	Core	1	Lecture	B	Grad	y
89220	Algorithms 1	Computer Science	Algorithms/Data Structures	Core	1.5	Lecture	A	Both	y
89255	Graph Theory	Computer Science	Networks	Core	1.5	Lecture	A	Both	y
89262	General Probability	Computer Science	Statistics/Probablity	Core	1	Lecture	A	Both	y
89264	Biostatistics	Computer Science	Bio	Core	1.5	Lecture	A	Both	y
89276	Numeric Methods	Computer Science	Math	Core	1	Lecture	B	Undergrad
89312	Programming in a multi-processor environment	Computer Science	Programming	Core	1	Lecture	B	Both	y
89322	Algorithms 2	Computer Science	Algorithms/Data Structures	Core	1	Lecture	B	Both	y
89350	Introduction to Communication Networks	Computer Science	Networks	Core	1	Lecture	A	Both	y
89362	General Statistics	Computer Science	Statistics/Probablity	Core	1	Lecture	B	Both	y
894043	Advanced Seminar in natural lagquage processing	Computer Science	NLP/Text	Core	1	Seminar	B	Both	y
894044	Research seminar in natural language processing â part 2	Computer Science	NLP/Text	Core	1	Seminar	B	Undergrad	y
89408	Advanced Seminar in Algorithmic Game Theory	Computer Science	Algorithms/Data Structures	Core	1	Seminar	B	Undergrad	y
894112	User Behavior Machine Learning Algorithms Seminar	Computer Science	ML/DL/NN	Core	1	Seminar	B	Undergrad	y
89421	Seminar/Strategic Planning for Robots	Computer Science	Robotics	Core	1	Seminar	B	Undergrad
894483	Seminar in Machine Learning and Speech Processing	Computer Science	Speech	Core	1	Seminar	B	Undergrad
89452	Seminar/Web, Crowd and Big Data Management	Computer Science	DB/Big Data	Core	1	Seminar	A	Undergrad	y
894531	Seminar: Learning Algorithms and Natural Language Processing	Computer Science	NLP/Text	Core	1	Seminar	B	Undergrad	y
89454	Structures for Semantics	Computer Science	NLP/Text	Core	1	Seminar	A	Undergrad
89460	Seminar: From Text to Information	Computer Science	NLP/Text	Core	1	Seminar	B	Undergrad
89471	Seminar in Pattern Recognition	Computer Science	Image	Core	1	Seminar	A	Undergrad
894851	Advanced Seminar in Text Understanding	Computer Science	NLP/Text	Core	1	Seminar	B	Undergrad
89493	Seminar/Applied Machine Learning for NLP	Computer Science	NLP/Text	Core	1	Seminar	B	Undergrad	y
89511	Machine Learning	Computer Science	ML/DL/NN	Core	1	Lecture	A	Both	y
89512	Computational Biology	Computer Science	Bio	Applied	1	Lecture	B	Both	y
89519	Machine Learning for Healthcare	Computer Science	Medical	Applied	1	Lecture	B	Both	y
89542	Management of Big Web Data	Computer Science	DB/Big Data	Core	1	Lecture	A	Both	y
89560	Image Processing	Computer Science	Image	Core	1	Lecture	A	Both	y
89570	Artificial Intelligence	Computer Science	AI	Core	1	Lecture	A	Both	y
89581	Database Systems	Computer Science	DB/Big Data	Core	1	Lecture	B	Both	y
89594	Formal Representations for Natural Languages	Computer Science	NLP/Text	Core	1	Lecture	B	Both	y
89608	Speech Recognition	Computer Science	Speech	Core	1	Lecture	B	Both
89641	Topics in Information Theory	Computer Science	Math	Core	1	Lecture	B	Both	y
89654	Advanced Methods in Machine Learning	Computer Science	ML/DL/NN	Core	1	Lecture	B	Both
896541	Practical topics in Machine Learning	Computer Science	ML/DL/NN	Applied	1	Lecture	B	Both
89679	Workshop in Databases	Computer Science	DB/Big Data	Core	1	Workshop	A	Both	y
89680	Natural Language Processing	Computer Science	NLP/Text	Core	1.5	Lecture	B	Both	y
89685	Introduction to Robotics	Computer Science	Robotics	Core	1	Lecture	A	Both	y
89687	Deep Learning Methods for Texts and Sequences	Computer Science	NLP/Text	Core	1	Lecture	B	Both	y
896871	Deep learning	Computer Science	ML/DL/NN	Core	1	Lecture	A	Both	y
896872	Deep Neural Network for Computer Vision	Computer Science	ML/DL/NN	Core	1	Lecture	B	Both
896873	Reinforcement Learning	Computer Science	ML/DL/NN	Core	1	Lecture	A	Both	y
896874	Deep learning for perception	Computer Science	Programming	Core	1	Lecture	A	Grad
89688	Statistical Machine Translation	Computer Science	NLP/Text	Core	1	Lecture	B	Both	y
89919	Applied Probabilistic Models in Computer Science	Computer Science	ML/DL/NN	Core	1	Lecture	A	Both	y
89950	Advanced Topics in Artificial Intelligence	Computer Science	ML/DL/NN	Core	1	Lecture	B	Both	y
89991	Machine Learning Colloqium	Computer Science	ML/DL/NN	Core		Colloquium	Annual	Both	y
996728	Law and Big Data	Law	Data Mining / Visualization	Applied	1	Lecture	B	Both	y
999025	Data Science for Jurists	Law	Data Mining / Visualization	Exposure	1.5	Lecture	A	Both	y

LEGEND

Target Audience:

Core: Students interested in understanding in depth how core data science methods and algorithms work, and in developing such methods.
Typical student profile: rigorous programming, mathematical and algorithmic skills.
Applied: Students interested in learning applied data science methods for the purpose of applying them extensively in various domains.
Typical student profile: basic programming and analytical skills, which may be acquired through relevant courses listed here for this audience.
Exposure: Students interested in high-level understanding of data science methods and their potential in various fields, in applying them using tools which do not require programming, and in social and ethical aspects of data science.
Typical student profile: students from broad disciplines who may not have programming or mathematical skills, or – for some courses – students interested in social, legal or ethical aspects of data science.

Points:

Usually, each point corresponds to two hours in one semester.

Category:

Fundamentals:
- Statistics/Probablity
- Programming
- Math
- Algorithms/Data Structures
CORE
- Signal Processing
- ML/DL/NN – Machine Learning, Deep Learning, Neural Networks
- Optimization
- DB/Big Data
- Networks
- Data Mining / Visualization
- Statistical Theory
- AI – Artificial Intelligence (Agents, Problem Solving, Planning, Search algorithms, …)
- Privacy
- Game Theory
APPLICATIONS
- NLP/Text
- Image – Image, Video Processing, Pattern Recognition
- Speech – Speech and Audio Processing
- Bio – BioInformatics, Computational Biology
- Finance/Econometrics –
- GIS – Geographic Information Systems (Geography)
- BI/User Behavior – Business Intelligence
- Digital Humanities
- Medical
- Robotics

Disclaimer

מרצים/ות לקורסים במדעי הנתונים

May 21, 2019May 21, 2019 by Oren Glickman

דרושים מרצים/ות לקורסים במדעי הנתונים

אוניברסיטת בר-אילן מציעה מספר רב של קורסים בתחום מדע הנתונים הניתנים במחלקות השונות באוניברסיטה. אנו מחפשים לשנת הלימודים הבאה (תש”פ) מרצים/ות לקורסים הבאים:

מבוא לתכנות בשפת פייתון (קורס תכנות בסיסי בשפת פייתון לתלמידי מדעי הטבע והחיים)
מבוא לניתוח, עיבוד וויזואליזציה של נתונים לתלמידי מדעי הטבע והחיים (קורס חדש)
עיבוד תמונה (קורס image processing בפקולטה להנדסה עם דגש על שיטות למידה)
רשתות נוירונים (קורס בסיסי ברשתות נוירונים בתכנית תואר ראשון במדעי המוח)
NLP for legal-tech (קורס חדש במסגרת תכנית לתואר שני בlega-ltech בפקולטה למשפטים)

כישורים נדרשים (לכל המשרות):

ניסיון בהוראה
רקע במדעי הנתונים ובתחום הספציפי של הקורס
בעלי תואר שלישי בתחום רלוונטי (או תואר שני עם רקע וניסיון מתאים)

לפרטים נוספים נא לפנות ל-dsi@biu.ac.il

The Bar-Ilan Data Science Institute Update – December 2018

December 26, 2018 by Oren Glickman

Dear Friends,

Please find attached our periodic update reflecting upcoming events and recent activity.
Looking forward to continuing our fruitful work and collaboration.

Best Wishes,
The DSI team

DSI_Update_December_2018 Download

Law & Big Data — Call for posters

February 15, 2018 by admin

אוניברסיטת בר-אילן

הפקולטה למשפטים ♦ המכון למדעי הנתונים

קול קורא לתלמידי/ות מחקר

להצגת פוסטרים בסדנה בינלאומית
בתמיכת הקרן לקידום מדעי הרוח והחברה באקדמיה הלאומית למדעים
בנושא
Law & Big Data
שתיערך בימים ב’-ג,’ כ”ט אייר-א’ סיון תשע”ח, 15-14במאי 2018
בפקולטה למשפטים באוניברסיטת בר-אילן

את ההצעות – באנגלית – יש לשלוח לאימייל: law.big.data@gmail.com
עד ליום ב,’ כ”ה אדר תשע”ח, 12.3.2018
תשובות תינתנה עד 26.3.

קול קורא לתלמידי מחקר

לקליניקה של המחלקה לפסיכולוגיה דרוש/ה במעבדה לחקר פסיכותרפיה מתקיים פרויקט ייחודי בחזית המחקר עובד/ת לסיוע בניהול ותפעול מערכתחכמה לאיסוף נתונים.