Web cookies (also called HTTP cookies, browser cookies, or simply cookies) are small pieces of data that websites store on your device (computer, phone, etc.) through your web browser. They are used to remember information about you and your interactions with the site.
Purpose of Cookies:
Session Management:
Keeping you logged in
Remembering items in a shopping cart
Saving language or theme preferences
Personalization:
Tailoring content or ads based on your previous activity
Tracking & Analytics:
Monitoring browsing behavior for analytics or marketing purposes
Types of Cookies:
Session Cookies:
Temporary; deleted when you close your browser
Used for things like keeping you logged in during a single session
Persistent Cookies:
Stored on your device until they expire or are manually deleted
Used for remembering login credentials, settings, etc.
First-Party Cookies:
Set by the website you're visiting directly
Third-Party Cookies:
Set by other domains (usually advertisers) embedded in the website
Commonly used for tracking across multiple sites
Authentication cookies are a special type of web cookie used to identify and verify a user after they log in to a website or web application.
What They Do:
Once you log in to a site, the server creates an authentication cookie and sends it to your browser. This cookie:
Proves to the website that you're logged in
Prevents you from having to log in again on every page you visit
Can persist across sessions if you select "Remember me"
What's Inside an Authentication Cookie?
Typically, it contains:
A unique session ID (not your actual password)
Optional metadata (e.g., expiration time, security flags)
Analytics cookies are cookies used to collect data about how visitors interact with a website. Their primary purpose is to help website owners understand and improve user experience by analyzing things like:
How users navigate the site
Which pages are most/least visited
How long users stay on each page
What device, browser, or location the user is from
What They Track:
Some examples of data analytics cookies may collect:
Page views and time spent on pages
Click paths (how users move from page to page)
Bounce rate (users who leave without interacting)
User demographics (location, language, device)
Referring websites (how users arrived at the site)
Here’s how you can disable cookies in common browsers:
1. Google Chrome
Open Chrome and click the three vertical dots in the top-right corner.
Go to Settings > Privacy and security > Cookies and other site data.
Choose your preferred option:
Block all cookies (not recommended, can break most websites).
Block third-party cookies (can block ads and tracking cookies).
2. Mozilla Firefox
Open Firefox and click the three horizontal lines in the top-right corner.
Go to Settings > Privacy & Security.
Under the Enhanced Tracking Protection section, choose Strict to block most cookies or Custom to manually choose which cookies to block.
3. Safari
Open Safari and click Safari in the top-left corner of the screen.
Go to Preferences > Privacy.
Check Block all cookies to stop all cookies, or select options to block third-party cookies.
4. Microsoft Edge
Open Edge and click the three horizontal dots in the top-right corner.
Go to Settings > Privacy, search, and services > Cookies and site permissions.
Select your cookie settings from there, including blocking all cookies or blocking third-party cookies.
5. On Mobile (iOS/Android)
For Safari on iOS: Go to Settings > Safari > Privacy & Security > Block All Cookies.
For Chrome on Android: Open the app, tap the three dots, go to Settings > Privacy and security > Cookies.
Be Aware:
Disabling cookies can make your online experience more difficult. Some websites may not load properly, or you may be logged out frequently. Also, certain features may not work as expected.
A professor who used chocolate chip cookies to teach about quality control, three researchers who had work published in top journals, and an educator who vigorously promoted the School of Business were among the 2015 Faculty Award recipients.
“This year we honored eight outstanding faculty members for their exceptional research, teaching and leadership achievements,” said Associate Dean Sulin Ba. “The selection process was particularly difficult due to the dozens of impressive nominees. We are fortunate to have such talented, creative and remarkable colleagues.”Continue Reading
Hartford Business Journal – The concept of using large data sets to package information to customers started in the early 2000s with Google, which initially used systems to analyze data on websites to enhance its search engine performance, said Ramesh Shankar, associate professor of information systems at the UConn School of Business.
Alteryx has partnered with the MS in Business Analytics and Project Management program (MSBAPM) at the University of Connecticut School of Business to host a 2-week data challenge beginning on March 30, 2015. The competition focuses on leveraging the power and flexibility of the Alteryx platform along with skills gained in the MSBAPM program to solve the challenge. Students can submit projects as teams of up to four. Finalists will be invited to present their projects to a panel of distinguished judges, including Alteryx’s Chief Scientist, and various amazing prizes will be awarded.
More information about the data challenge can be found at the website:
MSBAPM Students are exuberantly forming teams to research about the Alteryx software, to understand the platform, how it’s used, and how the software aids analytics. Good luck to the participants!
UConn undergraduates are invited to sign up for the April 4th TechnoEDGE workshop. TechnoEDGE workshops are designed to provide students with technology training that focuses on reviewing, analyzing and formatting data for use in the business environment. A major component of the training is hands-on assignments, group projects and a capstone assignment, each designed to provide practical experience.
UConn School of Business Saturday, April 4, 2015
Room 122 – Storrs campus
8:00am—3:30pm
Breakfast and Lunch is provided
Register on HuskyCareerLink under “Workshops”
TechnoEDGE is offered as a part of Travelers EDGE Professional Development Institute (PDI), a career readiness training program offered in partnership with Travelers Insurance.
The University of Connecticut School of Business is offering a breakfast seminar titled, “Demystifying Big Data,” from 7:30 to 9 a.m. March 25 at the Society Room, 31 Pratt Street, Hartford. Professor Ramesh Shankar, assistant department head for the university’s information systems program, will discuss the opportunities and challenges associated with leveraging Big Data and extracting full value. Participants will gain an understanding of the business value offered by the emerging ecosystem of Big Data technologies such as Apache Hadoop, Spark, Hive, and others.
This a “must-attend” event for Human Resources, Marketing, Information Technology, Operations Management and Healthcare leaders as well as Chief Financial Officers, Chief Operating Officers and Chief Executive Officers. Business leaders will leave the seminar with an enhanced understanding of the potential of Big Data in their organization to improve functional and operational results.
Pre-registration is required and can be made online or by calling 860-486-5498. Seating is limited.
Dr. Shankar earned a Ph.D. from the Stern School of Business at New York University. His current research focuses on social media, strategic analysis of digital goods, such as software, music and video games, and the impact of information systems on business processes and structure of firms. He has served as a management consultant with many multinational corporations including PricewaterhouseCoopers, Morgan Stanley, Wipro Infotech and ICICI Ltd.
A team of four UConn MBA students were awarded First Place and Grand Champions in the APICS Northeast Business Case Competition in Albany, N.Y., last month. This is the fourth time that a UConn MBA team has been awarded top honors.
The winning team members are first-year MBA students Jason Harris, Akhilesh Kumar, Jared Siraco, and Yogendra Bhosrekar. As a result of the win, the team will next compete in the Global APICS Competition which will be held in Las Vegas in October. Continue Reading
NCWIT is the National Center for Women & Information Technology, a national coalition of over 450 prominent corporations, academic institutions, government agencies, and non-profits working to strengthen the IT workforce and cultivate technology innovation by increasing the participation of women. The NCWIT Award for Aspirations in Computing recognizes young women at the high-school level for their computing-related achievements and interests. Winners are recognized at an awards reception on Wednesday, March 18, 2015 at the University of Connecticut Alumni Center. This year, we have 15 winners and 3 runner-ups coming from high schools throughout the state.
Ella
Ackerman
Greater Hartford Academy Of Math And Science
Sara
Banach
Greater Hartford Academy Of Math And Science
Allison
Barone
Farmington High School
Shruti
Bhatia
Farmington High School
Kathleen
Burkhardt
The Academy Of Information Technology
Jennifer
Da Silva
The Academy Of Information Technology
Kaitlyn
DaSilva
Farmington High School
Megan
Go
Farmington High School
Maeve
Howard
Greater Hartford Academy Of Math And Science
Helen
Liu
Amity Regional Senior High School
Catalina
Michea
Conard High School
Sarah
Mogielnicki
Greater Hartford Academy Of Math And Science
Belma
Pehratovic
Pathways To Technology Magnet School
Kathleen
Quinn
Sacred Heart Academy
Andreea
Rotaru-Barac
Howell Cheney Technical High School
Zara
Saldanha
Wilton High School
Lauren
Schneider
Farmington High School
Danielle
Swanson
Farmington High School
In 2007, NCWIT began recognizing girls for their aspirations and achievements in computing via the NCWIT Award for Aspirations in Computing. By generating visibility for technical young women the award encourages continued interest in computing, increases awareness of the gender gap in computing and IT, and emphasizes at a personal level the importance of women’s participation in computing. Seanice DeShields, director of the Office of Diversity Initiatives in the School of Business and chair of the Connecticut Aspirations in Computing Committee says, “Recognizing the use of technology and computing by young women not only serves to close the gender gap but it’s also building the next generation of IT leaders and professionals. The work these young ladies are doing is amazing and I’m privileged to be a part of this organization that supports them in their achievements.”
To be a part of the CT Aspirations in Computing Committee or to be a corporate sponsor for the awards reception in March, please contact Seanice.DeShields@business.uconn.edu.
UConn Today – Given the increasingly crucial role online retail plays in the American shopping experience, UConn Today invited Jane Gu, an assistant professor of marketing in the School of Business, to share her insights on the impact the Internet is having on the retail industry.
The University of Connecticut School of Business has been awarded a four-year U.S. Department of Education CIBER grant in excess of $1.1 million, to produce a series of programs and partnerships that center around manufacturing.
The CIBER—Center for International Business Education and Research—award comes following an extremely competitive application process in which only half of applicants had their awards renewed.Continue Reading
David Bergman, an assistant professor of Operations and Information Management in the School of Business, has been selected as the winner of this year’s Association for Constraint Programming Doctoral Thesis Award.
The annual award is given to a researcher who has completed his/her thesis in the area of constraint programming. Bergman will present his thesis at this year’s 20th International Conference on Principles and Practices of Constraint Programming in Lyon, France, in September.
Bergman’s thesis is titled, “New Techniques for Discrete Optimization,” and it explores new methodological approaches to discrete optimization problems, an area of operations research which finds an increasing number of applications in fields such as finance, healthcare, and logistics, to name just a few. His thesis provides both theoretical insights and important algorithmic discoveries which together improve upon existing state-of-the-art technology.
He completed his Ph.D. in 2013 at Carnegie Mellon University in Algorithms, Combinatorics, and Optimization, a joint program administered by the Tepper School of Business, the Department of Mathematical Sciences, and the Computer Science Department. Bergman’s thesis advisors were John N. Hooker and Willem-Jan van Hoeve.
An abstract of “New Techniques for Discrete Optimization” is available here.
