BCA

Eminent College of Management and Technology  boasts a remarkable 75% placement rate, with students securing positions in prestigious companies such as TCS, Infosys, Capgemini and more across various domains like data science and digital marketing, In 2023 the college achiev an average package of INR 3.30 Lacs per annum with the highest package reaching INR 7.50 Lacs per annum reflecting strong industry ties and employer recognition. BCA placements feature major IT firms and e commerce giants with eligibility starting in the fifth semester emphasizing ample preparation time and continuous skill enhancement through training session. Any future quary please check college review in our website. 

The highest package offer for BCA graduate at Eminent College of Management and Technology in 2023 was INR 7.50 Lacs per annum while the average package stood at INR 3.30 Lacs per annum. These placement highlight the promising career opportunitie available to BCA student at ECMT The top recruiter at ECMT for BCA placement in 2023 included prominent companie such as TCS, Wipro, Paytm and Ardent, This demonstrate the trust and recognition that leading organisation have in ECMT graduate further emphasising the quality of education and training provid by the college. If you want to get additional information please check college review in our website.  

The fees for pursuing a Bachelor of Computer Application at AISECT University typically range from INR 1.2 to 2 Lacs for the entire course duration. These figures are approximate and subject to change based on the university policies. Additionally student should consider expenses like hostel fees and examination charge. Despite costs pursuing BCA at AISECT is a valuable investment due to its quality education and infrastructure preparing student for successful career in the IT industry The university fosters a conducive learning environment for BCA student to excel academically and professionally. You want to get more information please contact college through helpline. 

Prospective students aiming for admission into the Bachelor of Computer Applications  programme at AISECT University must have completed their 10+2 education with at least 50% marks overall, Additionally they need to have studied mathematics as a mandatory subject during their 10+2 curriculum, Meeting these academic prerequisites is crucial for admission consideration. However admission decisions may also factor in entrance exam scores and personal interviews. AISECT University strives to enroll candidates with a robust academic background ensuring they are equipped to succeed in the field of computer application. If you want to get more information please contact college through helpline. 

The Bachelor of Computer Applications (BCA) programme at Gopal Narayan Singh University (GNSU) requires applicants to pass a 10+2 (Higher Secondary) examination or equivalent with a minimum of 45% aggregate marks. The programme requires Physics, Chemistry, and Mathematics as mandatory subjects. GNSU offers both online and offline application methods. Online applicants can visit the GNSU website, create an account, and fill out an online application form. They must upload required documents, pay the application fee, and submit the form online. Offline applicants can obtain the application form and prospectus from the GNSU admissions office or a designated center, fill it out manually, attach necessary documents, and pay the fee through a Demand Draft (DD) payable at Jamuhar, Sasaram.Selection for the BCA programme is primarily based on merit, considering the marks obtained in the 10+2 examination. In cases of a large number of applicants with the same marks, the university may use additional criteria like interviews or group discussions for the final selection. Important details to remember include application deadlines, the absence of a separate entrance exam, and the reservation policy of the Government of Bihar for admissions. Ensure all required documents are in the correct format before applying.

The current research aimed to identify acoustic speech characteristics which mark the beginning of an exacerbation in COPD patients. The central questions for this research were as follows: 1. Which acoustic measures extracted from read speech differ between COPD speakers in stable condition and healthy speakers? 2. In what ways does the speech of COPD patients during an exacerbation differ from speech of COPD patients during stable periods? All recordings were aligned using a script. Subsequently, they were manually annotated to indicate respiratory actions such as inhaling and exhaling. The recordings of 9 stable COPD patients reading aloud were then compared with the recordings of 5 healthy control subjects reading aloud. The results showed a significant effect of condition on the number of in- and exhalations per syllable, the number of non-linguistic in- and exhalations per syllable, and the ratio of voiced and silence intervals. The number of in- and exhalations per syllable and the number of non-linguistic in- and exhalations per syllable were higher for COPD patients than for healthy controls, which confirmed both hypotheses. However, the higher ratio of voiced and silence intervals for COPD patients compared to healthy controls was not in line with the hypotheses. This unpredicted result might have been caused by the different reading materials or recording procedures for both groups, or by a difference in reading skills. Moreover, there was a trend regarding the effect of condition on the number of syllables per breath group. The number of syllables per breath group was higher for healthy controls than for COPD patients, which was in line with the hypothesis. There was no effect of condition on pitch, intensity, center of gravity, pitch variability, speaking rate, or articulation rate. This research has shown that the speech of COPD patients in exacerbation differs from the speech of COPD patients in stable condition. This might have potential for the detection of exacerbations. However, sustained vowels rarely occur in spontaneous speech. Therefore, the last two outcome measures might have greater potential for the detection of beginning exacerbations, but further research on the different outcome measures and their potential for the detection of exacerbations is needed due to the limitations of the current study.