The Center for Cognitive Science offers a Bachelors Degree in Cognitive Science (B.A.). Below is a description of the requirements for fulfilling the new Cognitive Science Major and the five possible tracks.

Beginning Fall 2017, students will be able to declare the new Cognitive Science Major using myMajor (http://mymajor.sas.rutgers.edu). To declare students need to have taken 1 course in the Computational/Logical Reasoning Component, 1 course in the Statistical Reasoning Component, and 185:201 Introduction to Cognitive Science. Once you declare, you will be able to follow progress toward the degree using Degree Navigator (http://nbdn.rutgers.edu). If you have questions, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..

For more information on the Major in Cognitive Science and Careers in Cognitive Science, click here to download the flier. 

Majors may receive Honors in Cognitive Science. For information on the Honors Requirements, click here  and to download the Honors Thesis Research Application, click here. Please submit completed applications to Shiva Patel in Room A133 or via This email address is being protected from spambots. You need JavaScript enabled to view it.This email address is being protected from spambots. You need JavaScript enabled to view it..

 

Tracks and Requirements

There are 5 possible tracks for the major: (1) Cognitive Neuroscience, (2) Decision Making, (3) Language, (4) Mind, Machines & Computation, and (5) Perception. Each track is structured into 5 segments: (i) Quantitative Reasoning, (ii) Foundational, (iii) Distributional, (iv) Topics Courses, and (v) Capstone. Each track will have the same two requirements in Logical and Statistical Reasoning, the same Foundational course in Cognitive Science, a set of three Distributional requirements in cognate areas, and one Capstone Course involving independent research. The selection of courses that satisfy the Topic Electives segment will vary by track.

Note: Courses used to satisfy the distribution requirement cannot also be used to satisfy the track elective requirements.

The major must consist of a minimum of 36 credits:

  1. Students will be required to complete a minimum of 4 courses in Cognitive Science (curriculum code 185).
  2. Grades of C or better must be earned in all courses counted toward the major.
  3. At least two thirds of the total credits must be from courses offered by the School of Arts and Sciences.
  4. At least two thirds of the total credits must be at the 300-level or above.
  5. No more than 4 courses from Philosophy and no more than 4 courses from Computer Science may be counted toward the major.
  6. No more than 3 courses from any other department (not listed above) may be counted toward the major.

Quantitative Reasoning Requirements

Students must satisfy a Quantitative Reasoning Requirement by completing one course from each of the following two categories:

  1. Computational/Logical Reasoning Component. This is met by taking Introduction to Logic (730:201; 3) or Introduction to Logic (730:202; 4) or Computing for Math and the Sciences (198:107; 3) or Introduction to Discrete Structures I (198:205; 4) or Mathematical Logic (640:461; 3) or Introduction to Mathematical Reasoning (640:300; 3).
  2. Statistical Reasoning Component. This is met by taking one course from one of the following categories:
    1. Cognitive Science. Students may take Research Methods in Cognitive Science (185:320; 3).
    2. Computer Science. Students may take Introduction to Discrete Structures II (198: 206; 4).
    3. Mathematics. Students may take any course in the Calculus sequence: Calculus I (640:135; 4) or Calculus II or (640:136; 4) or Calculus I for Mathematical and Physical (640:151; 4) or Calculus I for Mathematical and Physical (640:152; 4) or Honors Calculus I (640:191; 4) or Honors Calculus II (640:192; 4).
    4. Psychology. Students may take Quantitative Methods in Psychology (830:200).
    5. Statistics. Students may take any course in the Statistics sequence, Statistics I (960:211; 3) or Introductory Statistics for Business (960:285; 3) or Basic Statistics for Research (960:401; 3)

Foundational Requirement in Cognitive Science (185:201)

One foundational course is required for all majors, “Cognitive Science: A Multi- disciplinary Introduction” (185:201; 4). This course is taught in Fall terms.

Distributional Requirements

The distributional requirements consist of taking one course in three out of five of the areas of Cognitive Science: Cognitive Neuroscience, Decision Making, Language, Mind, Machines & Computation, and Perception. One course should be taken from three of the cognate areas.

  1. Cognitive Neuroscience. Brain, Mind and Behavior (119:195; 3) or Fundamentals of Neurobiology (146:245; 3; for CBN majors) or Essentials of Cell Biology & Neuroscience (146:295; 3) or Data Structures (198:112, 4) or Physiological Psychology (830:313; 3)
  2. Decision Making. Cognition and Decision Making (185:301; 4) or Reasoning, Problem Solving, and Decision Making (830:408 or 409; 3)
  3. Language. Language and Cognition (185: 410; 4) or Introduction to Linguistic Theory (615:201; 3) or Philosophy of Language (730:210; 3) or Psychology of Language (830:351; 3)
  4. Mind, Machines & Computation. The Concept of ‘Concepts’ in Cognitive Science (185: 310; 3) or Introduction to Computer Science (198:111; 4) or Introduction to Artificial Intelligence (198: 440, 4) or Minds, Machines and Persons (730:329; 3) or Philosophical Aspects of Cognitive Science (730:360; 3)
  5. Perception. Design and Analysis of Computer Algorithms (198:344; 4) or Sensation & Perception (830:301; 3)

Capstone Course (185:411; 4 or 185:395; 3)

Students are required to take one of the following courses to satisfy the Capstone Course requirement: (1) Advanced Topics in Cognitive Science I (185:411; 4; offered Spring terms) or (2) Research in Cognitive Science (185:395; 3). This capstone is usually taken in a student’s Junior or Senior year.

Tracks

Students will select from one of 5 tracks that allow for concentration in a specific area of interest: Cognitive NeuroscienceDecision MakingLanguageMind, Machines & Computation, and Perception. Remaining credits will be completed by taking a minimum of three Topics Courses in a specific area of concentration. Note: there is no double-counting of courses; even though some courses appear on multiple lists, any one course can only count for satisfying one requirement.

  1. Cognitive Neuroscience Track Topics Courses (minimum of 9 elective credits):

    Behavioral and Neural Genetics (146:384; 3)
    Advanced Neurobiology I (146:445; 3)
    Advanced Neurobiology II (146:447; 3)
    Cognitive Neuroscience Through Case Studies (185:430; 4)
    Modeling and Simulation of Continuous Systems (198: 424; 4) 
    Introduction to Artificial Intelligence (198:440; 4)
    Mathematical Models in the Social and Biological Sciences (640:338; 3) 
    Minds, Machines and Persons (730:329; 3)
    Philosophical Aspects of Cognitive Science (730:360; 3) 
    Philosophy of Mind (730:418; 3)
    Cognition (830:305; 3)
    Behavioral Pharmacology (830:363; 3)
    Advanced Topics in Psychobiology (830:411; 3)
    Neuropsychopharmacology (830:412; 3)
    Introduction to Neural Processes - Biological and Artificial (14:125:440; 3)

  2. Decision Making Track Topics Courses (minimum of 9 elective credits):

    Human Nature and Human Diversity (185:253; 4)
    Cognition and Decision Making (185:301; 4) 
    Research Methods in Cognitive Science (185:320; 3) 
    Intermediate Microeconomic Analysis (220:320; 3) 
    Behavioral Economics (220:480; 3)
    Game Theory and Economics (220:482; 3)
    Mathematical Models in Social Sciences (640:339; 3)
    Philosophy of Psychology (730:328; 3)
    The Logic of Decision (730:424; 3)
    Small Groups (830:326; 3)
    Abnormal Psychology (830:340; 3)
    Research Methods in Psychology (830:355; 3)
    Health Psychology (830:377; 3)
    Reasoning, Problem Solving, and Decision Making (830:408 or 409; 3)

  3. Language Track Topics Courses (minimum of 9 elective credits):

    At least one course must be taken from this list: 
    Syntax (615:305; 3)
    Phonology (615:315; 3)
    Semantics (615:325; 3)
    Pragmatics (615:350; 3)

    At least one course must be taken from this list: 
    Philosophy of Language (730:420; 3)
    Semantics of Language (730:421; 3)
    Psychology of Language (830:351 or 615:371; 3)
    Language Acquisition (830:353; 3 or 615:433; 3) or Language Acquisition (830:484; 3)

    Other additional electives: 
    Meaning and Numbering (185:330; 3) or Language and Cognition (185:410; 4)
    Introduction to French Syntax (420:333; 3)
    Historical Linguistics (615:330; 3)
    Morphology (615:411; 3)
    Evolution of the Human Language Capacity (615:415; 3) 
    Language Typology (615:421; 3)
    Experimental Methodologies in Language Acquisition (615:435; 3) 
    Linguistics and Cognitive Science (615:441; 3)
    Phonetics (615:451; 3)
    Current Issues in Second Language Acquisition (940:420; 3) Spanish Syntax (940:421; 3)
    Spanish Semantics (940:422; 3)
    Spanish Phonetics and Phonology (940:362; 3)
    Bilingualism in the Spanish-Speaking World (940:363; 3)

  4. Mind, Machines & Computation Track Topics Courses (minimum of 9 elective credits):

    Brain, Mind, and Behavior (119:195; 3; honors) 
    Introduction to Neural Processes (125:405; 3)
    The Concept of ‘Concepts’ in Cognitive Science (185:360; 3) 
    Introduction to Discrete Structures I (198:205; 4) 
    Introduction to Discrete Structures II (198:206; 4)
    Design and Analysis of Computer Algorithms (198:344; 4) 
    Introduction to Artificial Intelligence (198:440; 4)
    Formal Languages and Automata (198:452; 3)
    Minds, Machines and Persons (730:329; 3)
    Philosophical Aspects of Cognitive Science (730:360; 3) 
    Philosophy of Mind (730:418; 3)
    Cognition (830: 305; 3)

  5. Perception Track Topics Courses (minimum of 9 elective credits):

    Visual Intelligence (185:401; 3)
    Design and Analysis of Computer Algorithms (198:344; 4) 
    Introduction to Artificial Intelligence (198:440; 4)
    Philosophy of Psychology (730:328; 3)
    Philosophical Aspects of Cognitive Science (730:360; 3) 
    Sensation & Perception (830:301; 3)
    Physiological Psychology (830:313; 3)
    Topics in Visual Perception (830:480; 3)

    One of the following:
    Graph Theory (640:428; 3) or
    Mathematical Logic (640:461; 3)
    Mathematical Theory of Probability (640:477; 3)

Directions to the Fiber Optics Building

DRIVING DIRECTIONS TO THE FIBER OPTICS BUILDING:

Address: 101 Bevier Rd, Piscataway, New Jersey 08854 (Bevier/Taylor Roads Closed due to construction)
Campus: Busch

To view a map of the campus, click here. 

 

Garden State Parkway Southbound (from northern points):

  1. Merge onto I-95 S/NJ Turnpike S via Exit 129 and stay on I-95 S for about 8.5 miles. 
  2. Merge onto Route 18 N via Exit 9. 
  3. After you pass through the tollbooths, bear right and follow signs for Route 18 N “New Brunswick.” 
  4. Stay in the left two lanes and continue on Route 18 N for about 5.5 miles. 
  5. Once you cross over the Raritan River, take the third exit ramp marked “Metlars Lane, Livingston Campus, Rutgers RAC” and stay in the left lane.
  6. At the light, turn left onto Avenue E.
  7. Follow Avenue E for about ½ mile, continuing straight through the light; Avenue E is now Davidson Road.
  8. Continue straight on Davidson Road for about a ¼ mile.
  9. Turn left onto Bartholomew Road.
  10. Make the first left into the parking Lot 51 (this is a visitor lot so no permit required). 

***Follow the walking directions below!

Garden State Parkway Northbound (from southern points):

  1. Merge onto I-287 N via Exit 127 and stay on I-287 N for about 12 miles. 
  2. Take the River Road exit, Exit 9 towards “Bound Brook/Highland Park” and stay in the left lane.
  3. At the traffic light, make a left onto River Road/County Hwy-622 towards “Highland Park”.
  4. Continue on River Road for about 4 miles, you will drive under the overpass for Route 18.
  5. Stay left and merge onto Route 18 N towards Piscataway via the ramp on the left.
  6. Follow Route 18 N for two exits.  Take the exit ramp marked “Metlars Lane, Livingston Campus, Rutgers RAC” and stay in the left lane.
  7. At the light, turn left onto Avenue E.
  8. Follow Avenue E for about ½ mile, continuing straight through the light; Avenue E is now Davidson Road.
  9. Continue straight on Davidson Road for about a ¼ mile.
  10. Turn left onto Bartholomew Road.
  11. Make the first left into the parking Lot 51 (this is a visitor lot so no permit required). 

***Follow the walking directions below!

Interstate 287 North or South:

  1. Take the River Road exit, Exit 9 towards “Bound Brook/Highland Park.”
  2. Proceed east onto River Road/County Hwy-622 towards “Highland Park”.
  3. Continue on River Road for about 4 miles, you will drive under the overpass for Route 18.
  4. Stay left and merge onto Route 18 N towards Piscataway via the ramp on the left.
  5. Follow Route 18 N for two exits.  Take the exit ramp marked “Metlars Lane, Livingston Campus, Rutgers RAC” and stay in the left lane.
  6. At the light, turn left onto Avenue E.
  7. Follow Avenue E for about ½ mile, continuing straight through the light; Avenue E is now Davidson Road.
  8. Continue straight on Davidson Road for about a ¼ mile.
  9. Turn left onto Bartholomew Road.
  10. Make the first left into the parking Lot 51 (this is a visitor lot so no permit required). 

***Follow the walking directions below!

New Jersey Turnpike North or South:

  1. Merge onto Route 18 N via Exit 9. 
  2. After you pass through the tollbooths, bear right and follow signs for “Route 18 N “New Brunswick.” 
  3. Stay to the left and continue on Route 18 N for about 5.5 miles. 
  4. Once you cross over the Raritan River, take the third exit ramp marked “Metlars Lane, Livingston Campus, Rutgers RAC” and stay in the left lane.
  5. At the light, turn left onto Avenue E.
  6. Follow Avenue E for about ½ mile, continuing straight through the light; Avenue E is now Davidson Road.
  7. Continue straight on Davidson Road for about a ¼ mile.
  8. Turn left onto Bartholomew Road.
  9. Make the first left into the parking Lot 51 (this is a visitor lot so no permit required). 

***Follow the walking directions below!

US Route 1 North or South:

  1. Merge onto Route18 N towards “New Brunswick.” 
  2. Stay in the left two lanes and continue on Route 18 N for about 5.5 miles. 
  3. Once you cross over the Raritan River, take the third exit ramp marked “Metlars Lane, Livingston Campus, Rutgers RAC” and stay in the left lane.
  4. At the light, turn left onto Avenue E.
  5. Follow Avenue E for about ½ mile, continuing straight through the light; Avenue E is now Davidson Road.
  6. Continue straight on Davidson Road for about a ¼ mile.
  7. Turn left onto Bartholomew Road.
  8. Make the first left into the parking Lot 51 (this is a visitor lot so no permit required). 

***Follow the walking directions below!

 

DRIVING DIRECTIONS FROM HYATT REGENCY-NEW BRUNSWICK TO FIBER OPTICS BUILDING:

Address: 101 Bevier Rd, Piscataway, New Jersey 08854 (Bevier/Taylor Roads closed due to construction)
Campus: Busch

  1. As you exit the hotel facility, make a right onto Neilson Street.
  2. At the traffic light, make a right onto Route 27 N/Albany Street/Raritan Avenue.
  3. After crossing over the Raritan River, at the light make a left onto River Road/County Road 622.
  4. Follow River Road for about 2 miles. 
  5. Before you reach the overpass for Route 18 you will merge onto Route 18 N towards Piscataway via the ramp on the right.
  6. Follow Route 18 N for two exits.  Take the exit ramp marked “Metlars Lane, Livingston Campus, Rutgers RAC” and stay in the left lane.
  7. At the light, turn left onto Avenue E.
  8. Follow Avenue E for about ½ mile, continuing straight through the light; Avenue E is now Davidson Road.
  9. Continue straight on Davidson Road for about a ¼ mile.
  10. Turn left onto Bartholomew Road.
  11. Make the first left into the parking Lot 51 (this is a visitor lot so no permit required). 

 

WALKING DIRECTIONS TO THE FIBER OPTICS AUDITORIUM:

As you exit parking Lot 51 keeping the Busch Student Center on your left, walk across Bartholomew Road towards parking Lot 68 and go to the back of the lot.  This should place you in front of the Biomedical Engineering Building which has a huge silver sculpture in front of it.  As you face the Biomedical Building, turn left and take the brick walkway towards the Fiber Optics Building (about 130 paces).  The entrance will be on your left into the main Lobby.  Continue straight through the Lobby towards the back to enter the Auditorium. 

 

WALKING DIRECTIONS FROM LOT 51 TO THE FIBER OPTICS AUDITORIUM:

As you exit parking Lot 51 keeping the Busch Student Center on your left, walk across Bartholomew Road towards parking Lot 68 and go to the back of the lot.  This should place you in front of the Biomedical Engineering Building which has a huge silver sculpture in front.  As you face the Biomedical Building, turn left and take the brick walkway towards the Fiber Optics Building (about 130 paces).  The entrance will be on your left into the main Lobby.  Continue straight through the Lobby towards the back to enter the Auditorium. 

 

 


 

 

Directions to the Faculty and Staff Livingston Club Room

DRIVING DIRECTIONS TO FACULTY AND STAFF LIVINGSTON CLUB ROOM:

Address: 85 Avenue E., Piscataway, NJ 08854
Campus: Livingston (Dining Commons)

Click here to get detailed directions.
To view a map of the campus, click here.

 

DRIVING DIRECTIONS FROM  FIBER OPTICS BUILDING TO THE LIVINGSTON DINING COMMONS (PARKING LOT 101):

Address: 85 Avenue E, Piscataway, NJ 08854
Campus: Livingston 

  1. As you exit parking Lot 51, make a right onto Bartholomew Road. 
  2. Follow Bartholomew Road and make a right on to Davidson Road. 
  3. Continue straight through the traffic light, Davidson Road now changes to Avenue E. 
  4. Follow Avenue E for about a ½ mile until you come to a traffic circle. 
  5. At the traffic circle, take the first exit and continue straight on Avenue E. 
  6. In about 250 feet make a left into the parking Lot 101 (this is a visitor lot so no permit required). 
  7. Follow the Yellow Lawn Signage from parking Lot 101 to the Livingston Dining Commons.  

 

 


 

 

Directions to Hyatt Regency - New Brunswick

DRIVING DIRECTIONS TO THE HYATT REGENCY-NEW BRUNSWICK:

Address: 2 Albany Street, New Brunswick, NJ  08901, 1-732-873-1234

 

Garden State Parkway Southbound (from northern points):

  1. Merge onto I-95 S/NJ Turnpike S via Exit 129 and stay on I-95 S for about 8.5 miles. 
  2. Merge onto Route 18 N via Exit 9. 
  3. After you pass through the tollbooths, bear right and follow signs for Route 18 N “New Brunswick.” 
  4. Continue on Route 18 N for about 1.5 miles. 
  5. Take the New Street exit ramp on the right and cross over Route 18.
  6. Go 4 blocks and make a right onto Nielson Street.
  7. About 1 mile down, the Hotel will be on your right.

Garden State Parkway Northbound (from southern points):

  1. Merge onto I-287 N via Exit 127 and stay on I-287 N for about 12 miles. 
  2. Take the River Road exit, Exit 9 towards “Bound Brook/Highland Park” and stay in the left lane.
  3. At the traffic light, make a left onto River Road/County Hwy-622 towards “Highland Park”.
  4. Continue on River Road for about 7 miles to the end. 
  5. Turn right onto “Route 27 S/Albany Street/Raritan Avenue” and go over the Raritan River. 
  6. Travel 2 blocks and make a left onto Nielson Street.
  7. The Hotel will be on your left.

Interstate 287 North or South:

  1. Take the River Road exit, Exit 9 towards “Bound Brook/Highland Park” and stay in the left lane.
  2. At the traffic light, make a left onto River Road/County Hwy-622 towards “Highland Park”.
  3. Continue on River Road for about 7 miles to the end. 
  4. Turn right onto “Route 27 S/Albany Street/Raritan Avenue” and go over the Raritan River. 
  5. Travel 2 blocks and make a left onto Nielson Street.
  6. The Hotel will be on your left.

New Jersey Turnpike North or South:

  1. Merge onto Route 18 N via Exit 9. 
  2. After you pass through the tollbooths, bear right and follow signs for Route 18 N “New Brunswick.” 
  3. Stay to the left and continue on Route 18 N for about 1.5 miles. 
  4. Take the New Street exit ramp on the right and cross over Route 18.
  5. Go 4 blocks and make a right onto Nielson Street.
  6. About 1 mile down, the Hotel will be on your right.

US Route 1 North or South:

  1. Merge onto Route18 N towards “New Brunswick.” 
  2. Stay in the left two lanes and continue on Route 18 N for about 1.5 miles. 
  3. Take the New Street exit ramp on the right and cross over Route 18.
  4. Go 4 blocks and make a right onto Nielson Street.
  5. About 1 mile down, the Hotel will be on your right.

 

DRIVING DIRECTIONS FROM  LIVINGSTON PARKING LOT 101 TO HYATT REGENCY-NEW BRUNSWICK:

Address: 2 Albany Street, New Brunswick, NJ  08901, 1-732-873-1234

  1. Make a right out of parking Lot 101 onto Avenue E.
  2. At the traffic circle, take the second exit and continue on Avenue E. 
  3. Continue straight through the traffic light and merge onto Route 18 S via the ramp on your right. 
  4. Follow Route 18 S for about 1 mile. 
  5. Take the River Road ramp towards “Piscataway/Highland Park”.
  6. At the end of the ramp at the traffic light, make a left onto River Road/County Hwy-622 towards “Highland Park”.
  7. Continue on River Road for about 2 miles to the end. 
  8. Turn right onto “Route 27 S/Albany Street/Raritan Avenue” and go over the Raritan River. 
  9. Travel 2 blocks and make a left onto Nielson Street.
  10. The Hotel will be on your left.

 

DRIVING DIRECTIONS FROM NEWARK AIRPORT TO THE HYATT REGENCY-NEW BRUNSWICK:

From: Newark Liberty International Airport (EWR), 3 Brewster Road, Newark, NJ 07114, USA
To: 2 Albany Street, New Brunswick, NJ 08901, USA

24.7 miles (about 30 minutes)

1. Head southeast 453 ft
2. Keep left at the fork, follow signs for Parking A/Parking B/Parking C 0.3 mi
3. Slight left toward Newark International Airport St 400 ft
4. Continue onto Newark International Airport St 0.4 mi
5. Keep right to stay on Newark International Airport St 0.2 mi
6. Keep right at the fork to continue toward U.S. 1 S/U.S. 9 S 0.2 mi
7. Keep left at the fork, follow signs for US 1 S/US 9 S/Interstate 95/NJ Turnpike/Elizabeth and merge onto U.S. 1 S/U.S. 9 S 1.2 mi
8. Take the exit toward New Jersey Turnpike/Interstate 95/Dowd Ave/North Ave/Eliz Seaport 0.2 mi
9. Continue onto NJ-81 S (Partial toll road) 1.1 mi
10. Take the I-95 S exit (Toll road) 361 ft
11. Keep left at the fork and merge onto I-95 S (Toll road) 17.7 mi
12. Take exit 9 to merge onto County Rd 527 N/NJ-18 N toward US-1/New Brunswick (Partial toll road) 2.0 mi
13. Take the exit toward New Jersey 27/New Brunswick Exits 0.1 mi
14. Keep right at the fork, follow signs for New Jersey 18 Service Rd 400 ft
15. Continue onto New Jersey 18 Service Rd 0.6 mi
16. Slight right onto the exit ramp 0.1 mi
17. Continue onto New St 0.1 mi
18. Turn right onto Neilson St. Destination will be on the right 0.2 mi

  


  

Directions to Newark Airport

DRIVING DIRECTIONS FROM THE HYATT REGENCY-NEW BRUNSWICK TO NEWARK AIRPORT:

From: 2 Albany Street, New Brunswick, NJ 08901, USA
To: Newark Liberty International Airport (EWR), 3 Brewster Road, Newark, NJ 07114, USA

23.5 miles (about 30 minutes)

1. Head south on Neilson St toward Paterson St 0.2 mi
2. Turn left at New St 0.1 mi
3. Slight right onto Burnet St 0.5 mi
4. Merge onto Memorial Pkwy 0.3 mi
5. Continue onto Burnet St 0.5 mi
6. Continue straight onto County Rd 527 S/NJ-18 S 0.7 mi
7. Take the N.J. Turnpike ramp (Toll road) 0.2 mi
8. Keep left to continue toward I-95 N (Toll road) 0.1 mi
9. Keep left at the fork, follow signs for New York N (Toll road) 0.3 mi
10. Keep left at the fork and merge onto I-95 N (Toll road) 18.1 mi
11. Take exit 13A toward Newark Airport/Elizabeth Seaport (Toll road) 0.3 mi
12. Keep left to continue toward NJ-81 N (Toll road) 0.3 mi
13. Continue onto NJ-81 N (Partial toll road) 0.8 mi
14. Take the exit on the left toward US 1-9/Newark 0.4 mi
15. Slight right 0.5 mi
16. Take the Terminal A ramp to Newark Airport
/Parking A/Parking B/Parking C/Terminal B/Terminal C
0.1 mi

 

 


 

Directions to New Brunswick Train Station 

TRAIN DIRECTIONS FROM NEW YORK PENN STATION TO NEW BRUNSWICK STATION:

Take the Northeast Corridor Line from NY Penn Station into New Brunswick.  The trains run about every half hour and it takes about 45-60 minutes travel time.  The fare for the trip is $13.00 one way. 

Depending on how you exit the train station, find your way to “Wall Street” (which is behind the train station) where you will find Victory Taxi Service to continue on your destination.  

 

TRAIN DIRECTIONS FROM PHILADELPHIA 30th STREET STATION TO NEW BRUNSWICK STATION

Take a SEPTA train from the Philadelphia 30th Street Station to the Trenton Transit Center.    From the Trenton Transit Center, take the Northeast Corridor Line to New Brunswick.  The trains from the Philadelphia 30th Street Station run about every 40 minutes and it takes about 50 minutes travel time.  The trains from the Trenton Transit Center run about every 30 minutes and it takes about 30 minutes travel time.  The fare for the SEPTA trip is $9.00 one way and the fare for the NE Corridor Line is $8.50 one way.  

Depending on how you exit the train station, find your way to “Wall Street” (which is behind the train station) where you will find Victory Taxi Service to continue on your destination.  

Description of Courses Offered by Cognitive Science

185:201 Cognitive Science: A Multi-disciplinary Introduction (4 credits) is a lecture/recitation course taught by a single instructor. This course introduces students to the diverse set of concepts and formal and experimental techniques used in cognitive science. Taught in Fall semesters.

185:253 Human Nature and Diversity (3 credits) is a lecture course taught by Stephen Stich. In an era of globalization everybody talks about diversity, but how much do you actually know about human nature and human diversity? Why is there so much diversity in sex and gender, race, diet, morality and norms, political views, religious beliefs, cognition, perceptions, and emotions?  Is this just human nature?  Are there any universals in human nature?
Course satisfies the Core Curriculum: 21st Century Challenges [21C] and Arts and Humanities [AHo]

185:301 Cognition and Decision Making (4 credits) is a lecture/recitation course taught by a single instructor. This course introduces students to the subjects of reasoning and decision-making as a means of exploring a number of issues central to the field of cognitive science. Taught in Spring semesters.
Course satisfies Core Curriculum: Quantitative and Formal Reasoning (QQ).

185:310 The Concepts of "Concepts" in Cognitive Science (3 credits) is a lecture course taught by a single instructor. This course introduces students to the study of concepts from a broad interdisciplinary point of view, surveying how concepts are understood in Psychology, Philosophy, Computer Science and Neuroscience. Emphasis is on both differences in how these various disciplines view concepts as well as commonalities in the underlying ideas.

185:320 Research Methods in Cognitive Science (3 credits) is a lecture course taught by a single instructor. This course introduces students to a foundation for thinking critically about research in cognitive science. Topics may include the scientific method and consideration of strengths and weaknesses of a range of approaches, statistical reasoning and principles for ethical conduct of research.
Pre-requisite: Introduction to Cognitive Science (185:201) OR Cognition and Decision Making (185:301) OR Advanced Topics in Cognitive Science I (185:411).

185:330 Meaning and Counting (3 credits) is a lecture course taught by a single instructor. It will illustrate some central issues in cognitive science—and strategies for addressing questions about the contributions of innate endowment and individual experience (a.k.a., Nature and Nurture) to mature cognition—via discussion and comparison of two important case studies: the human capacity to understand linguistic expressions, and the apparently more widespread capacity to make numerical comparisons.

185:395/396  Research in Cognitive Science (3 credits) is a supervised research internship in cognitive science. May include laboratory/library research. Final written report required. Pre-requisite: permission of instructor.
NOTE: This course also counts as the capstone course for the Cognitive Science major. Only faculty who are Executive Committee members or Affiliates in the Center for Cognitive Science can oversee research courses in Cognitive Science.

185:401 Visual Intelligence (3 credits) is a lecture course taught by several instructors. This course aims to introduce students to the study of visual intelligence from a computational and behavioral point of view. The emphasis is on understanding the representations that our visual systems generate, and the computations that are used to generate them.
Pre- or co-requisites: 1. Sensation & Perception (830:301). May be taken concurrently. 2. Statistics I (960:211) or Quantitative Methods in Psychology (830:200) [NOTE: must have earned a B or higher in 2.]

185:410 Language and Cognition (3 credits) is a lecture course taught by a single instructor. Topics may include speech perception, language acquisition, priming, disorders, speech errors, sentence processing, memory, color, and numerosity.
Course satisfies Core Curriculum: Quantitative and Formal Reasoning (QQ).

185:411 Advanced Topics in Cognitive Science (4 credits) is a seminar course team-taught by faculty affiliated with the Center for Cognitive Science. Faculty from psychology, computer science, linguistics, philosophy, and cognitive science will give single seminars in which they show how these diverse set of concepts and formal and experimental techniques are used to address a particular problem within cognitive science. Taught in Spring semesters.
Pre- or co-requisites: course in computer science, linguistics, philosophy, or psychology or being assigned a permission number by the instructor.

185:412 Advanced Topics II in Cognitive Science (3 credits) is a multi-sectioned course with each section investigating advanced problems and issues in cognitive science. Check the Center’s Upcoming Courses Webpage for titles, descriptions, and requirements of any sections being offered.

185:430 Cognitive Neuroscience Through Case Studies (4 credits) is a lecture course taught by a single instructor. Students will become knowledgeable about the structure and function of the human brain in people who do and do not have acquired or developmental brain disorders. Topics will include methods, vision, attention, movement and sensation, memory, neurodevelopment, and language, among others.
Pre-requisites: Introduction to Cog Sci (185:201) or General Psychology (830:101)

185:495 Senior Honors Thesis Thesis research under the direction of a faculty advisor.
Prerequisite: 01:185:201 and eligibility for departmental honors and approval of thesis topic by faculty advisor and director of undergraduate studies.

185:496 Senior Honors Thesis (3 credits) Thesis research under the direction of a faculty advisor.
Prerequisite: 01:185:201, 01:185:495, and eligibility for departmental honors and approval of thesis topic by faculty adviser and director of undergraduate studies.
NOTE: Only faculty who are Executive Committee members or Affiliates in the Center for Cognitive Science can oversee research courses in Cognitive Science.
Once you have a faculty advisor, please apply to complete a Senior Honors Thesis by completing the Honors Research in Cognitive Science application form.

Please use Degree Navigator to generate an academic report for the Cognitive Science minor: http://nbdn.rutgers.edu. Degree Navigator is an advising tool designed to help students make informed decisions regarding their academic progress. It allows you to manage your general education, major, and minor requirements.

To declare your minor in Cognitive Science, please submit a minor declaration form: http://mymajor.sas.rutgers.edu

 

General Description of the Minor Program

Cognitive Science is an interdisciplinary area of scholarship concerned with understanding the nature and development of such intelligent capacities as perception, language, reasoning, planning, problem-solving, and related skills, whether these capacities are instantiated in biological or artificial systems. The goal of the Cognitive Science minor is to provide a structured way for undergraduates to study and carry out research in cognitive science with guidance from faculty members affiliated with the Program in Cognitive Science. Any undergraduate may pursue a minor in cognitive science, regardless of his or her major. The interdisciplinary Cognitive Science minor is likely to be of particular interest to undergraduates majoring in fields that are directly related to cognitive science (e.g., computer science, linguistics, philosophy, psychology, anthropology, biological sciences, mathematics, statistics, biomathematics, communication, and engineering).
 

Undergraduate Minor Requirements

Note: Click here to see the minor requirements prior to Jan 1, 2015, if you started your minor before that.Jan 1, 2015, if you started your minor before that.

The interdisciplinary minor in Cognitive Science consists of a minimum of 18 credits, distributed as follows:

  1. At least three of the following courses offered by RuCCS:
    • 01:185:201 Cognitive Science: A Multi-disciplinary Introduction (4 credits;  offered each fall)
    • 01:185:253 Human Nature and Diversity (4 credits)
    • 01:185:301 Cognition and Decision Making (4 credits; offered every other spring semester)
    • 01:185:310 The Concept of "Concepts" in Cognitive Science (3 credits; offered every other fall)
    • 01:185:320 Research Methods in Cognitive Science (3 credits)
    • 01:185:330 Meaning and Numbering (3 credits)
    • 01:185:410 Language and Cognition (3 credits)
    • 01:185:411 Advanced Topics in Cognitive Science I (4 credits; offered each spring)
    • 01:185:412 Advanced Topics II - Cognitive Science (3 credits)
    • 01:185:430 Cognitive Neuroscience through Case Studies (4 credits)
  2. A minimum of 3 credits in formal or analytic methods used in cognitive science. 
    For the courses that automatically satisfy this requirement, click here

    Click here to close list

    • 01:198:107: Computing for Math and the Sciences (3)
    • 01:198:111: Introduction to Computer Science (4)
    • 01:198:112: Data structures (4)
    • 01:198:205: Introduction to Discrete Structures I (4)
    • 01:198:206: Introduction to Discrete Structures II (4)
    • 01:615:305: Syntax (3)
    • 01:615:315: Phonology (3)
    • 01:615:325: Semantics (3)
    • 01:615:411: Morphology (3)
    • 01:640:300: Introduction to Mathematical Reasoning (3)
    • 01:640:338: Discrete and Probabilistic Models in Biology (3)
    • 01:640:339: Mathematical Models in the Social Sciences (3)
    • 01:640:361: Set Theory (3)
    • 01:640:428: Graph Theory (3)
    • 01:640:454: Combinatorics (3)
    • 01:640:461: Mathematical Logic (3)
    • 01:640:477: Mathematical Theory of Probability (3)
    • 01:640:478: Probability II (3)
    • 01:640:481: Mathematical Theory of Statistics (3)
    • 01:730:201: Introduction to Logic (3)
    • 01:730:315: Applied Symbolic Logic (3)
    • 01:730:407: Intermediate Logic I (3)
    • 01:730:408: Intermediate Logic II (3)
    • 01:830:200: Quantitative Methods in Psychology (4)
    • 01:960:379: Basic Probability and Statistics (3)
    • 01:960:381: Theory of Probability (3)
    • 01:960:382: Theory of Statistics (3)
    • 01:960:401: Basic Statistics for Research (3)

    Click here to close list

  3. A minimum of an additional 6 elective credits. If you take more than the 3 required courses in the 185 curriculum (listed under 1.), any additional 185 course(s) will count as an elective. If you take more than 1 of the approved formal/analytic courses, any additional approved formal/analytic course listed may be counted as an elective. 
    For the courses that automatically satisfy this requirement, click here.

    Click here to close list

    • 01:119:195: Brain, Mind and Behavior (3)
    • 01:146:245: Fundamentals of Neurobiology (for CBN majors) (3)
    • 01:146:295: Essentials in Cell Bio and Neuro (for non-CBN majors) (3)
    • 01:146:445: Advanced Neurobiology I (4)
    • 01:146:447: Advanced Neurobiology II (3)
    • 01:185:200: Apply Cog Sci to Probs in the Real & Virtual Worlds (3)
    • 01:185:201: Cognitive Science: A Multi-disciplinary Introduction (4 credits;  offered each fall)
    • 01:185:301: Cognition and Decision Making (4 credits; offered every other spring semester)
    • 01:185:310: The Concept of "Concepts" in Cognitive Science (3 credits; offered every other fall)
    • 01:185:320: Research Methods in Cognitive Science (3 credits)
    • 01:185:330: Meaning and Numbering (3 credits)
    • 01:185:395: Research in Cognitive Science I (3)
    • 01:185:396: Research in Cognitive Science II (3)
    • 01:185:410: Language and Cognition (3 credits)
    • 01:185:411: Advanced Topics in Cognitive Science I (4 credits; offered each spring)
    • 01:185:495: Research in Cognitive Science I (3) * caveat
    • 01:185:496: Research in Cognitive Science II (3) * caveat
    • 01:198:314: Principles of Programming Languages (4)
    • 01:198:344: Design and Analysis of Computer Algorithms (4)
    • 01:198:405: Seminar in Computers and Society (3)
    • 01:198:415: Compilers (4)
    • 01:198:428: Introduction to Computer Graphics (4)
    • 01:198:440: Introduction to Artificial Intelligence (4)
    • 01:198:452: Formal Languages and Automata (3)
    • 01:447:380: Genetics (4)
    • 01:447:384: Genetics Analysis I (4)
    • 01:447:385: Genetics Analysis II (4)
    • 01:447:410: Research in Genetics-Writing Intensive (3)
    • 01:447:484: Behavioral and Neural Genetics (3)
    • 01:615:201: Introduction to Linguistic Theory (3)
    • 01:615:330: Historical Linguistics (3)
    • 01:615:350: Pragmatics (3)
    • 01:615:360: Theories of Language (3)
    • 01:615:371: Psychology of Language (3)
    • 01:615:373: Language Acquisition (3)
    • 01:615:421: Language Typology (3)
    • 01:615:431: Investigations into an Unfamiliar Language (3)
    • 01:615:433: Language Acquisition (3)
    • 01:615:435: Experimental Methodologies in Language Acquisition (3)
    • 01:615:441: Linguistics and Cognitive Science (3)
    • 01:615:445: Language and Cognition (3)
    • 01:615:451: Phonetics (3)
    • 01:615:471: Selected Topics in Linguistics (3)
    • 01:615:491: Practicum in Linguistics (3)
    • 01:730:210: Philosophy of Language (3)
    • 01:730:220: Theory of Knowledge (3)
    • 01:730:253: Human Nature and Diversity (4)
    • 01:730:328: Philosophy of Psychology (3)
    • 01:730:329: Minds, Machines and Persons (3)
    • 01:730:360: Philosophical Aspects of Cognitive Science (3)
    • 01:730:412: Epistemology (3)
    • 01:730:418: Philosophy of Science (3)
    • 01:730:419: Philosophy of Perception (3)
    • 01:730:420: Philosophy of Language (3)
    • 01:730:422: Philosophy of Logic (3)
    • 01:730:424: The Logic of Decision (3)
    • 01:730:425: Philosophy of Mind (3)
    • 01:730:428: Topics in the Philosophy of Psychology (3)
    • 01:830:301: Sensation and Perception (3)
    • 01:830:303: Memory (3)
    • 01:830:305: Cognition (3)
    • 01:830:307: Perception in Cognitive Science (3)
    • 01:830:310: Neuropsychology (3)
    • 01:830:311: Conditioning and Learning (3)
    • 01:830:313: Physiological Psychology (3)
    • 01:830:351: Psychology of Language I (3)
    • 01:830:353: Language Acquisition (3)
    • 01:830:361: Developmental Psychobiology (3)
    • 01:830:401: Advanced Topics in Human Cognition (3)
    • 01:830:402: Advanced Topics in Human Cognition (WI) (3)
    • 01:830:410: Advanced Topics in Psychobiology (3)
    • 01:830:411: Advanced Topics in Psychobiology WI (3)
    • 01:830:412: Neuropsychopharmacology (3)
    • 01:830:463: Behavioral Pharmacology (3)
    • 01:830:480: Advanced Topics in Visual Perception (3)
    • 01:830:484: Language Acquisition (3)
    • 01:940:363: Bilingualism in the Spanish-Speaking World (3)
    • 01:940:368: The Bilingual Mind (3)
    • 01:960:384: Intermediate Statistical Analysis (3)
    • 14:125:405: Introduction to Neural Processes (3)
    • 14:125:410: Sensory Processes, Mechanisms, Computer Models (3)

    Click here to close list

This course list will be updated periodically as appropriate.

 

Additional requirements:

  1. Grades of C or better must be earned in all courses counted toward the minor.
  2. No more than 4 credits at the 100-level may be counted towards the minor.
  3. At least half of the credits towards the minor must be at the 300-level or above.
  4. The same course cannot be used to fulfill both the formal/analytic and elective requirements.
  5. No more than two courses can be taken in any one department.

 

How to Declare a Minor in Cognitive Science

To declare a minor in Cognitive Science, please use myMajor: http://mymajor.sas.rutgers.edu. Students are recommended to declare the minor at the same time, or shortly after, they declare a major field of study.

Students should be aware that many of the courses listed have prerequisites and not all of the courses are offered each semester. Students should contact the departments that offer courses to learn about prerequisites and course schedules. Students may petition the Undergraduate Program Director, Dr. Mary Rigdon, to have additional courses count as formal/analytic or elective courses; email: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Cognitive Science Minor Program - Course Offerings

A complete list of courses offered in Cognitive Science can be found by visiting: http://ruccs.rutgers.edu/academics/undergraduate-course-listing

Upcoming courses offered in Cognitive Science can be found by visiting: http://ruccs.rutgers.edu/academics/undergraduate-courses

Other courses satisfying the requirements of the minor are offered in areas such as Computer Science, Linguistics, Philosophy, Psychology and others. These courses are outlined in the above section, and can be looked up at the Rutgers Online Schedule of Classes. [if this link is broken, go to the Rutgers main page http://www.rutgers.edu, select "current students" and then "schedule of classes".]

WHEN: Friday, September 12, 9:30 am - 2 pm
WHERE: Busch Dining Hall, Room AB (on the right as you enter the building)

The goal of the workshop is to encourage interdisciplinary discussion and collaboration among students and faculty from the interlocking disciplines making up Cognitive Science at Rutgers. Discussion will center around a series of five short talks by graduate students from Computer Science, Linguistics, Philosophy and Psychology. We hope each talk will give rise to a lively discussion, and we encourage everyone interested in interdisciplinary cognitive science to attend. If you plan to attend, please RSVP by filling out the form below. Please be sure to respond so we can get an accurate headcount!

Schedule

9:30 am -- Coffee --
10:00 am Ron Planer (Philosophy, RuCCS): "On the co-evolution of future-oriented thinking and cumulative culture in humans"
10:40 am Brian McMahan (Computer Science, RuCCS): "An optimally robust observer for color descriptions"
11:20 am Vicky Froyen (Psychology, RuCCS): "Understanding perceptual grouping as mixture estimation"
12:00 pm -- Lunch --
12:40 pm Matthew Barros (Linguistics, RuCCS): "Saying things without words - the silent structure of ellipsis"
1:20 pm E. J. Green (Philosophy, RuCCS): "Toward a permissive view of visual objects"

RSVP

To RSVP please fill out the form below (both fields are required). 

(5 plus 6) = 

To verify that this entry is not submitted by an automated script, please enter in the box above the sum of 5 plus 6.


 

Contact RuCCS

Psychology Building Addition
152 Frelinghuysen Road
Piscataway, NJ 08854-8020


Phone:

  • 848-445-1625
  • 848-445-6660
  • 848-445-0635


Fax:

  • 732-445-6715