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diff --git a/courses/CSCI-6960.html b/courses/CSCI-6960.html
index 99dcabcba..0ff46aa15 100644
--- a/courses/CSCI-6960.html
+++ b/courses/CSCI-6960.html
@@ -129,7 +129,7 @@
Tianfan Fu
- Seats Taken: 0/12
+ Seats Taken: 0/20
diff --git a/courses/CSCI-6962.html b/courses/CSCI-6962.html
index 653eb1419..38e7aeaaa 100644
--- a/courses/CSCI-6962.html
+++ b/courses/CSCI-6962.html
@@ -123,10 +123,10 @@
- Security And Privacy Of Ml (4c)
+ Cloud Computing (4c)
- - Lei Yu
+ - Mark Richard Gilder
Seats Taken: 0/10
diff --git a/courses/CSCI-6963.html b/courses/CSCI-6963.html
index 5644600e4..416b5d8bd 100644
--- a/courses/CSCI-6963.html
+++ b/courses/CSCI-6963.html
@@ -41,16 +41,6 @@
4 credits
-
-
- Cross-listed with:
-
-
-
Prereqs:
@@ -130,7 +120,18 @@
2025 |
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+
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2018 |
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diff --git a/courses/CSCI-6964.html b/courses/CSCI-6964.html
index 5f54ff21a..50b117374 100644
--- a/courses/CSCI-6964.html
+++ b/courses/CSCI-6964.html
@@ -41,14 +41,6 @@
4 credits
-
-
- Cross-listed with:
-
-
-
Prereqs:
@@ -128,7 +120,18 @@
2025 |
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diff --git a/courses/CSCI-6965.html b/courses/CSCI-6965.html
index 7cb99e8f0..d700f2f77 100644
--- a/courses/CSCI-6965.html
+++ b/courses/CSCI-6965.html
@@ -41,14 +41,6 @@
4 credits
-
-
- Cross-listed with:
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-
Prereqs:
@@ -128,7 +120,18 @@
2025 |
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diff --git a/courses/CSCI-6967.html b/courses/CSCI-6967.html
index 3d12d3991..e23465c58 100644
--- a/courses/CSCI-6967.html
+++ b/courses/CSCI-6967.html
@@ -41,14 +41,6 @@
4 credits
-
-
- Cross-listed with:
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-
-
Prereqs:
@@ -128,7 +120,18 @@
2025 |
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diff --git a/courses/CSCI-6968.html b/courses/CSCI-6968.html
index 574e2fb6b..bd20419ae 100644
--- a/courses/CSCI-6968.html
+++ b/courses/CSCI-6968.html
@@ -123,10 +123,10 @@
- Trustworthy Machine Learning (4c)
+ Ai And Blockchain (4c)
- - Alex Algernon Theodore Gittens
+ - Oshani W. Seneviratne
Seats Taken: 0/20
diff --git a/courses/CSCI-6971.html b/courses/CSCI-6971.html
index 4320d8b9c..712487eac 100644
--- a/courses/CSCI-6971.html
+++ b/courses/CSCI-6971.html
@@ -41,14 +41,6 @@
4 credits
-
-
- Cross-listed with:
-
-
-
Prereqs:
@@ -128,7 +120,18 @@
2025 |
-
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+
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@@ -337,7 +340,7 @@
2014 |
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diff --git a/courses/ECSE-6980.html b/courses/ECSE-6980.html
index eee948bd3..1d80fbf19 100644
--- a/courses/ECSE-6980.html
+++ b/courses/ECSE-6980.html
@@ -217,7 +217,7 @@
Kyle Richard Wilt
- Seats Taken: 7/250
+ Seats Taken: 8/250
diff --git a/courses/ITWS-6370.html b/courses/ITWS-6370.html
index 71136a8c5..fad9d1cb6 100644
--- a/courses/ITWS-6370.html
+++ b/courses/ITWS-6370.html
@@ -137,7 +137,7 @@
Brian Robert Callahan
- Seats Taken: 0/15
+ Seats Taken: 0/10
diff --git a/courses/WRIT-6550.html b/courses/WRIT-6550.html
index 21828af3b..6120d01d9 100644
--- a/courses/WRIT-6550.html
+++ b/courses/WRIT-6550.html
@@ -150,7 +150,7 @@
Leah Corinne Jones
- Seats Taken: 2/6
+ Seats Taken: 1/6
diff --git a/json/searchable_catalog.json b/json/searchable_catalog.json
index 98bdb06d0..02e367ad9 100644
--- a/json/searchable_catalog.json
+++ b/json/searchable_catalog.json
@@ -14700,7 +14700,7 @@
{
"attributes" : null,
"code" : "CSCI-2210",
- "credits" : "1 credit",
+ "credits" : "4 credits",
"description" : "This course covers the essential building blocks of machine learning, focusing on topics in linear algebra, continuous probability and stochastic, and optimization. This provides students with foundational mathematical concepts to the components of machine learning - data, models, and learning algorithms - at an introductory level, emphasizing their basic functionalities and relationships. These mathematical foundations are the bedrock upon which machine learning is constructed. The topics that will be covered in this course are: Vectors, matrices, matrix operations and decomposition, eigenvalues, eigenvectors, vector calculus, calculating gradients of functions of vectors and matrices, probability theory, and linear regression.",
"name" : "Math Fndtns Of Machine Lrning"
},
@@ -15393,10 +15393,7 @@
"name" : "Topics in CSCI"
},
{
- "attributes" :
- [
- "CI"
- ],
+ "attributes" : null,
"code" : "CSCI-4963",
"credits" : "4 credits",
"description" : "Course codes between X960 and X979 are for topics courses. They are often recycled and used for new or experimental courses.",
@@ -15405,7 +15402,7 @@
{
"attributes" : null,
"code" : "CSCI-4964",
- "credits" : "3 credits",
+ "credits" : "4 credits",
"description" : "Course codes between X960 and X979 are for topics courses. They are often recycled and used for new or experimental courses.",
"name" : "Topics in CSCI"
},
| |